Overview

Dataset statistics

Number of variables114
Number of observations78400
Missing cells6454357
Missing cells (%)72.2%
Duplicate rows42
Duplicate rows (%)0.1%
Total size in memory68.2 MiB
Average record size in memory912.0 B

Variable types

Text81
Categorical29
DateTime2
Numeric2

Alerts

Dataset has 42 (0.1%) duplicate rowsDuplicates
Inspection Type is highly imbalanced (93.8%)Imbalance
Street Direction has 52514 (67.0%) missing valuesMissing
Street Type has 1661 (2.1%) missing valuesMissing
Street Unit has 50458 (64.4%) missing valuesMissing
Violation Description - 1 has 6540 (8.3%) missing valuesMissing
Violation Points - 1 has 6540 (8.3%) missing valuesMissing
Violation Detail - 1 has 7091 (9.0%) missing valuesMissing
Violation Memo - 1 has 22783 (29.1%) missing valuesMissing
Violation Description - 2 has 14050 (17.9%) missing valuesMissing
Violation Points - 2 has 14050 (17.9%) missing valuesMissing
Violation Detail - 2 has 14634 (18.7%) missing valuesMissing
Violation Memo - 2 has 29118 (37.1%) missing valuesMissing
Violation Description - 3 has 22927 (29.2%) missing valuesMissing
Violation Points - 3 has 22927 (29.2%) missing valuesMissing
Violation Detail - 3 has 23448 (29.9%) missing valuesMissing
Violation Memo - 3 has 35814 (45.7%) missing valuesMissing
Violation Description - 4 has 31744 (40.5%) missing valuesMissing
Violation Points - 4 has 31744 (40.5%) missing valuesMissing
Violation Detail - 4 has 32230 (41.1%) missing valuesMissing
Violation Memo - 4 has 42334 (54.0%) missing valuesMissing
Violation Description - 5 has 39897 (50.9%) missing valuesMissing
Violation Points - 5 has 39897 (50.9%) missing valuesMissing
Violation Detail - 5 has 40370 (51.5%) missing valuesMissing
Violation Memo - 5 has 48408 (61.7%) missing valuesMissing
Violation Description - 6 has 47251 (60.3%) missing valuesMissing
Violation Points - 6 has 47251 (60.3%) missing valuesMissing
Violation Detail - 6 has 47643 (60.8%) missing valuesMissing
Violation Memo - 6 has 53926 (68.8%) missing valuesMissing
Violation Description - 7 has 53767 (68.6%) missing valuesMissing
Violation Points - 7 has 53767 (68.6%) missing valuesMissing
Violation Detail - 7 has 54093 (69.0%) missing valuesMissing
Violation Memo - 7 has 58770 (75.0%) missing valuesMissing
Violation Description - 8 has 59391 (75.8%) missing valuesMissing
Violation Points - 8 has 59391 (75.8%) missing valuesMissing
Violation Detail - 8 has 59652 (76.1%) missing valuesMissing
Violation Memo - 8 has 63100 (80.5%) missing valuesMissing
Violation Description - 9 has 64188 (81.9%) missing valuesMissing
Violation Points - 9 has 64188 (81.9%) missing valuesMissing
Violation Detail - 9 has 64403 (82.1%) missing valuesMissing
Violation Memo - 9 has 66780 (85.2%) missing valuesMissing
Violation Description - 10 has 68233 (87.0%) missing valuesMissing
Violation Points - 10 has 68233 (87.0%) missing valuesMissing
Violation Detail - 10 has 68392 (87.2%) missing valuesMissing
Violation Memo - 10 has 69891 (89.1%) missing valuesMissing
Violation Description - 11 has 71595 (91.3%) missing valuesMissing
Violation Points - 11 has 71595 (91.3%) missing valuesMissing
Violation Detail - 11 has 71694 (91.4%) missing valuesMissing
Violation Memo - 11 has 72698 (92.7%) missing valuesMissing
Violation Description - 12 has 74182 (94.6%) missing valuesMissing
Violation Points - 12 has 74182 (94.6%) missing valuesMissing
Violation Detail - 12 has 74263 (94.7%) missing valuesMissing
Violation Memo - 12 has 74933 (95.6%) missing valuesMissing
Violation Description - 13 has 75722 (96.6%) missing valuesMissing
Violation Points - 13 has 75722 (96.6%) missing valuesMissing
Violation Detail - 13 has 75777 (96.7%) missing valuesMissing
Violation Memo - 13 has 76189 (97.2%) missing valuesMissing
Violation Description - 14 has 76510 (97.6%) missing valuesMissing
Violation Points - 14 has 76510 (97.6%) missing valuesMissing
Violation Detail - 14 has 76540 (97.6%) missing valuesMissing
Violation Memo - 14 has 76841 (98.0%) missing valuesMissing
Violation Description - 15 has 77068 (98.3%) missing valuesMissing
Violation Points - 15 has 77068 (98.3%) missing valuesMissing
Violation Detail - 15 has 77092 (98.3%) missing valuesMissing
Violation Memo - 15 has 77314 (98.6%) missing valuesMissing
Violation Description - 16 has 77510 (98.9%) missing valuesMissing
Violation Points - 16 has 77510 (98.9%) missing valuesMissing
Violation Detail - 16 has 77527 (98.9%) missing valuesMissing
Violation Memo - 16 has 77660 (99.1%) missing valuesMissing
Violation Description - 17 has 77850 (99.3%) missing valuesMissing
Violation Points - 17 has 77850 (99.3%) missing valuesMissing
Violation Detail - 17 has 77862 (99.3%) missing valuesMissing
Violation Memo - 17 has 77953 (99.4%) missing valuesMissing
Violation Description - 18 has 78049 (99.6%) missing valuesMissing
Violation Points - 18 has 78049 (99.6%) missing valuesMissing
Violation Detail - 18 has 78057 (99.6%) missing valuesMissing
Violation Memo - 18 has 78111 (99.6%) missing valuesMissing
Violation Description - 19 has 78193 (99.7%) missing valuesMissing
Violation Points - 19 has 78193 (99.7%) missing valuesMissing
Violation Detail - 19 has 78196 (99.7%) missing valuesMissing
Violation Memo - 19 has 78232 (99.8%) missing valuesMissing
Violation Description - 20 has 78269 (99.8%) missing valuesMissing
Violation Points - 20 has 78269 (99.8%) missing valuesMissing
Violation Detail - 20 has 78275 (99.8%) missing valuesMissing
Violation Memo - 20 has 78289 (99.9%) missing valuesMissing
Violation Description - 21 has 78327 (99.9%) missing valuesMissing
Violation Points - 21 has 78327 (99.9%) missing valuesMissing
Violation Detail - 21 has 78332 (99.9%) missing valuesMissing
Violation Memo - 21 has 78337 (99.9%) missing valuesMissing
Violation Description - 22 has 78368 (> 99.9%) missing valuesMissing
Violation Points - 22 has 78368 (> 99.9%) missing valuesMissing
Violation Detail - 22 has 78371 (> 99.9%) missing valuesMissing
Violation Memo - 22 has 78370 (> 99.9%) missing valuesMissing
Violation Description - 23 has 78382 (> 99.9%) missing valuesMissing
Violation Points - 23 has 78382 (> 99.9%) missing valuesMissing
Violation Detail - 23 has 78382 (> 99.9%) missing valuesMissing
Violation Memo - 23 has 78383 (> 99.9%) missing valuesMissing
Violation Description - 24 has 78388 (> 99.9%) missing valuesMissing
Violation Points - 24 has 78388 (> 99.9%) missing valuesMissing
Violation Detail - 24 has 78388 (> 99.9%) missing valuesMissing
Violation Memo - 24 has 78388 (> 99.9%) missing valuesMissing
Violation Description - 25 has 78394 (> 99.9%) missing valuesMissing
Violation Points - 25 has 78394 (> 99.9%) missing valuesMissing
Violation Detail - 25 has 78395 (> 99.9%) missing valuesMissing
Violation Memo - 25 has 78394 (> 99.9%) missing valuesMissing
Violation Points - 25 is uniformly distributedUniform

Reproduction

Analysis started2024-02-22 02:12:07.225179
Analysis finished2024-02-22 02:12:35.878497
Duration28.65 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

Distinct9136
Distinct (%)11.7%
Missing11
Missing (%)< 0.1%
Memory size612.6 KiB
2024-02-21T21:12:36.086058image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length65
Median length52
Mean length19.248402
Min length3

Characters and Unicode

Total characters1508863
Distinct characters77
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique854 ?
Unique (%)1.1%

Sample

1st rowMICKLE CHICKEN
2nd rowTOM THUMB - JUICE BAR
3rd rowBROOKDALE WHITE ROCK
4th rowCHURCH'S CHICKEN #201
5th rowPEAK PREPARATORY-PRIMARY SCHOOL
ValueCountFrequency (%)
7423
 
3.0%
bar 3176
 
1.3%
restaurant 2873
 
1.2%
the 2803
 
1.1%
food 2714
 
1.1%
kitchen 2645
 
1.1%
cafe 2563
 
1.0%
la 2488
 
1.0%
el 2276
 
0.9%
school 2167
 
0.9%
Other values (7446) 214728
87.3%
2024-02-21T21:12:36.508586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168049
 
11.1%
E 132820
 
8.8%
A 129441
 
8.6%
R 93545
 
6.2%
O 90650
 
6.0%
S 84179
 
5.6%
T 82537
 
5.5%
I 80817
 
5.4%
N 73556
 
4.9%
L 72125
 
4.8%
Other values (67) 501144
33.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1251393
82.9%
Space Separator 168049
 
11.1%
Decimal Number 44969
 
3.0%
Other Punctuation 30831
 
2.0%
Dash Punctuation 6768
 
0.4%
Open Punctuation 3103
 
0.2%
Close Punctuation 3097
 
0.2%
Lowercase Letter 564
 
< 0.1%
Math Symbol 63
 
< 0.1%
Currency Symbol 16
 
< 0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 132820
 
10.6%
A 129441
 
10.3%
R 93545
 
7.5%
O 90650
 
7.2%
S 84179
 
6.7%
T 82537
 
6.6%
I 80817
 
6.5%
N 73556
 
5.9%
L 72125
 
5.8%
C 65720
 
5.3%
Other values (17) 346003
27.6%
Lowercase Letter
ValueCountFrequency (%)
n 99
17.6%
d 65
11.5%
o 63
11.2%
t 57
10.1%
r 38
 
6.7%
e 34
 
6.0%
a 30
 
5.3%
h 26
 
4.6%
s 26
 
4.6%
i 25
 
4.4%
Other values (10) 101
17.9%
Other Punctuation
ValueCountFrequency (%)
' 10537
34.2%
# 10469
34.0%
& 4986
16.2%
/ 2567
 
8.3%
. 1093
 
3.5%
, 558
 
1.8%
@ 464
 
1.5%
" 104
 
0.3%
: 28
 
0.1%
! 16
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 7151
15.9%
2 5909
13.1%
7 5194
11.6%
3 5076
11.3%
0 4342
9.7%
5 4279
9.5%
4 3865
8.6%
6 3421
7.6%
8 2879
6.4%
9 2853
 
6.3%
Math Symbol
ValueCountFrequency (%)
+ 61
96.8%
> 2
 
3.2%
Space Separator
ValueCountFrequency (%)
168049
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6768
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3097
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 16
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 7
100.0%
Other Symbol
ValueCountFrequency (%)
° 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1251957
83.0%
Common 256906
 
17.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 132820
 
10.6%
A 129441
 
10.3%
R 93545
 
7.5%
O 90650
 
7.2%
S 84179
 
6.7%
T 82537
 
6.6%
I 80817
 
6.5%
N 73556
 
5.9%
L 72125
 
5.8%
C 65720
 
5.2%
Other values (37) 346567
27.7%
Common
ValueCountFrequency (%)
168049
65.4%
' 10537
 
4.1%
# 10469
 
4.1%
1 7151
 
2.8%
- 6768
 
2.6%
2 5909
 
2.3%
7 5194
 
2.0%
3 5076
 
2.0%
& 4986
 
1.9%
0 4342
 
1.7%
Other values (20) 28425
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1508833
> 99.9%
None 30
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168049
 
11.1%
E 132820
 
8.8%
A 129441
 
8.6%
R 93545
 
6.2%
O 90650
 
6.0%
S 84179
 
5.6%
T 82537
 
5.5%
I 80817
 
5.4%
N 73556
 
4.9%
L 72125
 
4.8%
Other values (63) 501114
33.2%
None
ValueCountFrequency (%)
ñ 10
33.3%
â 9
30.0%
É 8
26.7%
° 3
 
10.0%

Inspection Type
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size612.6 KiB
Routine
77436 
Follow-up
 
934
Complaint
 
30

Length

Max length9
Median length7
Mean length7.0245918
Min length7

Characters and Unicode

Total characters550728
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRoutine
2nd rowRoutine
3rd rowRoutine
4th rowRoutine
5th rowRoutine

Common Values

ValueCountFrequency (%)
Routine 77436
98.8%
Follow-up 934
 
1.2%
Complaint 30
 
< 0.1%

Length

2024-02-21T21:12:36.665596image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:12:36.795463image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
routine 77436
98.8%
follow-up 934
 
1.2%
complaint 30
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
o 79334
14.4%
u 78370
14.2%
t 77466
14.1%
i 77466
14.1%
n 77466
14.1%
R 77436
14.1%
e 77436
14.1%
l 1898
 
0.3%
p 964
 
0.2%
F 934
 
0.2%
Other values (5) 1958
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 471394
85.6%
Uppercase Letter 78400
 
14.2%
Dash Punctuation 934
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 79334
16.8%
u 78370
16.6%
t 77466
16.4%
i 77466
16.4%
n 77466
16.4%
e 77436
16.4%
l 1898
 
0.4%
p 964
 
0.2%
w 934
 
0.2%
m 30
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
R 77436
98.8%
F 934
 
1.2%
C 30
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 934
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 549794
99.8%
Common 934
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 79334
14.4%
u 78370
14.3%
t 77466
14.1%
i 77466
14.1%
n 77466
14.1%
R 77436
14.1%
e 77436
14.1%
l 1898
 
0.3%
p 964
 
0.2%
F 934
 
0.2%
Other values (4) 1024
 
0.2%
Common
ValueCountFrequency (%)
- 934
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 550728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 79334
14.4%
u 78370
14.2%
t 77466
14.1%
i 77466
14.1%
n 77466
14.1%
R 77436
14.1%
e 77436
14.1%
l 1898
 
0.3%
p 964
 
0.2%
F 934
 
0.2%
Other values (5) 1958
 
0.4%
Distinct2293
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size612.6 KiB
Minimum2016-10-03 00:00:00
Maximum2024-02-14 00:00:00
2024-02-21T21:12:36.926529image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:12:37.076169image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Inspection Score
Real number (ℝ)

Distinct58
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.867985
Minimum-26
Maximum100
Zeros2
Zeros (%)< 0.1%
Negative6
Negative (%)< 0.1%
Memory size612.6 KiB
2024-02-21T21:12:37.220777image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-26
5-th percentile80
Q187
median92
Q396
95-th percentile100
Maximum100
Range126
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.9800247
Coefficient of variation (CV)0.076815005
Kurtosis5.0197807
Mean90.867985
Median Absolute Deviation (MAD)5
Skewness-1.1533272
Sum7124050
Variance48.720744
MonotonicityNot monotonic
2024-02-21T21:12:37.376528image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 6525
 
8.3%
97 5219
 
6.7%
95 4926
 
6.3%
94 4696
 
6.0%
96 4645
 
5.9%
90 4384
 
5.6%
92 4228
 
5.4%
93 4221
 
5.4%
98 4002
 
5.1%
91 3921
 
5.0%
Other values (48) 31633
40.3%
ValueCountFrequency (%)
-26 1
< 0.1%
-15 1
< 0.1%
-13 1
< 0.1%
-5 2
< 0.1%
-3 1
< 0.1%
0 2
< 0.1%
44 1
< 0.1%
50 1
< 0.1%
51 2
< 0.1%
52 1
< 0.1%
ValueCountFrequency (%)
100 6525
8.3%
99 3112
4.0%
98 4002
5.1%
97 5219
6.7%
96 4645
5.9%
95 4926
6.3%
94 4696
6.0%
93 4221
5.4%
92 4228
5.4%
91 3921
5.0%

Street Number
Real number (ℝ)

Distinct3442
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5511.2565
Minimum0
Maximum39779
Zeros71
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size612.6 KiB
2024-02-21T21:12:37.524888image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile515
Q12301
median4141
Q38233
95-th percentile13434
Maximum39779
Range39779
Interquartile range (IQR)5932

Descriptive statistics

Standard deviation4333.0204
Coefficient of variation (CV)0.78621281
Kurtosis3.6769624
Mean5511.2565
Median Absolute Deviation (MAD)2465
Skewness1.3476421
Sum4.3208251 × 108
Variance18775066
MonotonicityNot monotonic
2024-02-21T21:12:37.678902image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2500 562
 
0.7%
8687 389
 
0.5%
400 378
 
0.5%
1201 342
 
0.4%
8008 334
 
0.4%
650 328
 
0.4%
13350 281
 
0.4%
2201 280
 
0.4%
1515 278
 
0.4%
2200 250
 
0.3%
Other values (3432) 74978
95.6%
ValueCountFrequency (%)
0 71
0.1%
100 58
0.1%
102 46
0.1%
103 9
 
< 0.1%
104 2
 
< 0.1%
105 10
 
< 0.1%
106 33
< 0.1%
108 11
 
< 0.1%
110 37
< 0.1%
111 57
0.1%
ValueCountFrequency (%)
39779 19
< 0.1%
39739 18
< 0.1%
39718 12
< 0.1%
39640 22
< 0.1%
34511 4
 
< 0.1%
33333 2
 
< 0.1%
19304 14
< 0.1%
19177 13
< 0.1%
19160 14
< 0.1%
19129 28
< 0.1%
Distinct842
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size612.6 KiB
2024-02-21T21:12:37.909555image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length25
Median length22
Mean length7.8759694
Min length2

Characters and Unicode

Total characters617476
Distinct characters42
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)< 0.1%

Sample

1st rowCAMP WISDOM
2nd rowFIELD
3rd rowWHITE ROCK
4th rowFERGUSON
5th rowANNEX
ValueCountFrequency (%)
preston 2371
 
2.5%
northwest 2321
 
2.4%
greenville 2046
 
2.1%
forest 2016
 
2.1%
central 1929
 
2.0%
buckner 1680
 
1.7%
hill 1496
 
1.6%
walnut 1435
 
1.5%
hines 1356
 
1.4%
harry 1356
 
1.4%
Other values (859) 78094
81.3%
2024-02-21T21:12:38.280184image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 60769
 
9.8%
R 52900
 
8.6%
L 50713
 
8.2%
N 50564
 
8.2%
A 49060
 
7.9%
O 42005
 
6.8%
T 36783
 
6.0%
S 35804
 
5.8%
I 34363
 
5.6%
M 23850
 
3.9%
Other values (32) 180665
29.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 599046
97.0%
Space Separator 17711
 
2.9%
Decimal Number 448
 
0.1%
Other Punctuation 208
 
< 0.1%
Dash Punctuation 25
 
< 0.1%
Open Punctuation 19
 
< 0.1%
Close Punctuation 19
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 60769
 
10.1%
R 52900
 
8.8%
L 50713
 
8.5%
N 50564
 
8.4%
A 49060
 
8.2%
O 42005
 
7.0%
T 36783
 
6.1%
S 35804
 
6.0%
I 34363
 
5.7%
M 23850
 
4.0%
Other values (16) 162235
27.1%
Decimal Number
ValueCountFrequency (%)
1 120
26.8%
2 99
22.1%
0 78
17.4%
7 45
 
10.0%
8 41
 
9.2%
4 38
 
8.5%
3 15
 
3.3%
5 12
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 128
61.5%
# 64
30.8%
' 15
 
7.2%
& 1
 
0.5%
Space Separator
ValueCountFrequency (%)
17711
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 599046
97.0%
Common 18430
 
3.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 60769
 
10.1%
R 52900
 
8.8%
L 50713
 
8.5%
N 50564
 
8.4%
A 49060
 
8.2%
O 42005
 
7.0%
T 36783
 
6.1%
S 35804
 
6.0%
I 34363
 
5.7%
M 23850
 
4.0%
Other values (16) 162235
27.1%
Common
ValueCountFrequency (%)
17711
96.1%
. 128
 
0.7%
1 120
 
0.7%
2 99
 
0.5%
0 78
 
0.4%
# 64
 
0.3%
7 45
 
0.2%
8 41
 
0.2%
4 38
 
0.2%
- 25
 
0.1%
Other values (6) 81
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 617476
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 60769
 
9.8%
R 52900
 
8.6%
L 50713
 
8.2%
N 50564
 
8.2%
A 49060
 
7.9%
O 42005
 
6.8%
T 36783
 
6.0%
S 35804
 
5.8%
I 34363
 
5.6%
M 23850
 
3.9%
Other values (32) 180665
29.3%

Street Direction
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing52514
Missing (%)67.0%
Memory size612.6 KiB
N
7764 
W
7762 
S
6875 
E
3485 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters25886
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowW
2nd rowN
3rd rowS
4th rowN
5th rowW

Common Values

ValueCountFrequency (%)
N 7764
 
9.9%
W 7762
 
9.9%
S 6875
 
8.8%
E 3485
 
4.4%
(Missing) 52514
67.0%

Length

2024-02-21T21:12:38.424059image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:12:38.526029image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
n 7764
30.0%
w 7762
30.0%
s 6875
26.6%
e 3485
13.5%

Most occurring characters

ValueCountFrequency (%)
N 7764
30.0%
W 7762
30.0%
S 6875
26.6%
E 3485
13.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 25886
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 7764
30.0%
W 7762
30.0%
S 6875
26.6%
E 3485
13.5%

Most occurring scripts

ValueCountFrequency (%)
Latin 25886
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 7764
30.0%
W 7762
30.0%
S 6875
26.6%
E 3485
13.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25886
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 7764
30.0%
W 7762
30.0%
S 6875
26.6%
E 3485
13.5%

Street Type
Categorical

MISSING 

Distinct19
Distinct (%)< 0.1%
Missing1661
Missing (%)2.1%
Memory size612.6 KiB
RD
19471 
AVE
13840 
ST
11580 
LN
8436 
BLVD
7716 
Other values (14)
15696 

Length

Max length4
Median length2
Mean length2.6049206
Min length2

Characters and Unicode

Total characters199899
Distinct characters21
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRD
2nd rowST
3rd rowTRL
4th rowRD
5th rowAVE

Common Values

ValueCountFrequency (%)
RD 19471
24.8%
AVE 13840
17.7%
ST 11580
14.8%
LN 8436
10.8%
BLVD 7716
 
9.8%
DR 5023
 
6.4%
FRWY 2996
 
3.8%
HWY 2321
 
3.0%
EXPW 2001
 
2.6%
PKWY 1640
 
2.1%
Other values (9) 1715
 
2.2%
(Missing) 1661
 
2.1%

Length

2024-02-21T21:12:38.666959image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
rd 19471
25.4%
ave 13840
18.0%
st 11580
15.1%
ln 8436
11.0%
blvd 7716
 
10.1%
dr 5023
 
6.5%
frwy 2996
 
3.9%
hwy 2321
 
3.0%
expw 2001
 
2.6%
pkwy 1640
 
2.1%
Other values (9) 1715
 
2.2%

Most occurring characters

ValueCountFrequency (%)
D 32210
16.1%
R 27907
14.0%
V 21556
10.8%
L 16409
8.2%
E 16198
8.1%
A 14364
7.2%
T 12351
 
6.2%
S 11660
 
5.8%
W 9692
 
4.8%
N 8436
 
4.2%
Other values (11) 29116
14.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 199819
> 99.9%
Other Punctuation 80
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
D 32210
16.1%
R 27907
14.0%
V 21556
10.8%
L 16409
8.2%
E 16198
8.1%
A 14364
7.2%
T 12351
 
6.2%
S 11660
 
5.8%
W 9692
 
4.9%
N 8436
 
4.2%
Other values (10) 29036
14.5%
Other Punctuation
ValueCountFrequency (%)
/ 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 199819
> 99.9%
Common 80
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
D 32210
16.1%
R 27907
14.0%
V 21556
10.8%
L 16409
8.2%
E 16198
8.1%
A 14364
7.2%
T 12351
 
6.2%
S 11660
 
5.8%
W 9692
 
4.9%
N 8436
 
4.2%
Other values (10) 29036
14.5%
Common
ValueCountFrequency (%)
/ 80
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 199899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
D 32210
16.1%
R 27907
14.0%
V 21556
10.8%
L 16409
8.2%
E 16198
8.1%
A 14364
7.2%
T 12351
 
6.2%
S 11660
 
5.8%
W 9692
 
4.8%
N 8436
 
4.2%
Other values (11) 29116
14.6%

Street Unit
Text

MISSING 

Distinct989
Distinct (%)3.5%
Missing50458
Missing (%)64.4%
Memory size612.6 KiB
2024-02-21T21:12:38.941362image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.8250662
Min length1

Characters and Unicode

Total characters106880
Distinct characters38
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)0.2%

Sample

1st row#3000
2nd row#110
3rd row#180
4th row#B
5th row#101
ValueCountFrequency (%)
100 2894
 
10.3%
a 1201
 
4.3%
110 1015
 
3.6%
101 1011
 
3.6%
b 783
 
2.8%
102 628
 
2.2%
120 565
 
2.0%
200 532
 
1.9%
300 526
 
1.9%
150 513
 
1.8%
Other values (863) 18460
65.6%
2024-02-21T21:12:39.396262image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 24882
23.3%
0 23183
21.7%
1 22374
20.9%
2 7813
 
7.3%
3 5141
 
4.8%
5 4264
 
4.0%
4 3286
 
3.1%
6 2629
 
2.5%
8 2106
 
2.0%
7 1995
 
1.9%
Other values (28) 9207
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 74220
69.4%
Other Punctuation 24895
 
23.3%
Uppercase Letter 6954
 
6.5%
Dash Punctuation 625
 
0.6%
Space Separator 186
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 1980
28.5%
B 1306
18.8%
C 992
14.3%
L 518
 
7.4%
F 430
 
6.2%
E 304
 
4.4%
D 283
 
4.1%
G 229
 
3.3%
S 143
 
2.1%
H 142
 
2.0%
Other values (14) 627
 
9.0%
Decimal Number
ValueCountFrequency (%)
0 23183
31.2%
1 22374
30.1%
2 7813
 
10.5%
3 5141
 
6.9%
5 4264
 
5.7%
4 3286
 
4.4%
6 2629
 
3.5%
8 2106
 
2.8%
7 1995
 
2.7%
9 1429
 
1.9%
Other Punctuation
ValueCountFrequency (%)
# 24882
99.9%
& 13
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 625
100.0%
Space Separator
ValueCountFrequency (%)
186
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99926
93.5%
Latin 6954
 
6.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 1980
28.5%
B 1306
18.8%
C 992
14.3%
L 518
 
7.4%
F 430
 
6.2%
E 304
 
4.4%
D 283
 
4.1%
G 229
 
3.3%
S 143
 
2.1%
H 142
 
2.0%
Other values (14) 627
 
9.0%
Common
ValueCountFrequency (%)
# 24882
24.9%
0 23183
23.2%
1 22374
22.4%
2 7813
 
7.8%
3 5141
 
5.1%
5 4264
 
4.3%
4 3286
 
3.3%
6 2629
 
2.6%
8 2106
 
2.1%
7 1995
 
2.0%
Other values (4) 2253
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
# 24882
23.3%
0 23183
21.7%
1 22374
20.9%
2 7813
 
7.3%
3 5141
 
4.8%
5 4264
 
4.0%
4 3286
 
3.1%
6 2629
 
2.5%
8 2106
 
2.0%
7 1995
 
1.9%
Other values (28) 9207
 
8.6%
Distinct7814
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size612.6 KiB
2024-02-21T21:12:39.663465image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length37
Median length32
Mean length18.988087
Min length10

Characters and Unicode

Total characters1488666
Distinct characters46
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique482 ?
Unique (%)0.6%

Sample

1st row3203 W CAMP WISDOM RD
2nd row2380 N FIELD ST
3rd row9271 WHITE ROCK TRL
4th row10295 FERGUSON RD
5th row1474 ANNEX AVE
ValueCountFrequency (%)
rd 19503
 
6.3%
ave 13849
 
4.5%
st 12020
 
3.9%
ln 8475
 
2.8%
w 7842
 
2.5%
n 7764
 
2.5%
blvd 7734
 
2.5%
s 6890
 
2.2%
dr 5030
 
1.6%
e 3688
 
1.2%
Other values (4950) 215145
69.9%
2024-02-21T21:12:40.075681image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
229551
 
15.4%
E 82819
 
5.6%
R 81169
 
5.5%
1 79490
 
5.3%
0 76878
 
5.2%
L 68065
 
4.6%
N 66861
 
4.5%
A 65615
 
4.4%
S 56400
 
3.8%
T 51365
 
3.5%
Other values (36) 630453
42.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 839801
56.4%
Decimal Number 393231
26.4%
Space Separator 229551
 
15.4%
Other Punctuation 25380
 
1.7%
Dash Punctuation 665
 
< 0.1%
Open Punctuation 19
 
< 0.1%
Close Punctuation 19
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 82819
 
9.9%
R 81169
 
9.7%
L 68065
 
8.1%
N 66861
 
8.0%
A 65615
 
7.8%
S 56400
 
6.7%
T 51365
 
6.1%
D 49119
 
5.8%
O 42266
 
5.0%
I 34433
 
4.1%
Other values (16) 241689
28.8%
Decimal Number
ValueCountFrequency (%)
1 79490
20.2%
0 76878
19.6%
2 49267
12.5%
3 38055
9.7%
5 34956
8.9%
4 28199
 
7.2%
7 22565
 
5.7%
8 22498
 
5.7%
6 20768
 
5.3%
9 20555
 
5.2%
Other Punctuation
ValueCountFrequency (%)
# 25092
98.9%
. 171
 
0.7%
/ 87
 
0.3%
' 15
 
0.1%
& 14
 
0.1%
, 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
229551
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 665
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 839801
56.4%
Common 648865
43.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 82819
 
9.9%
R 81169
 
9.7%
L 68065
 
8.1%
N 66861
 
8.0%
A 65615
 
7.8%
S 56400
 
6.7%
T 51365
 
6.1%
D 49119
 
5.8%
O 42266
 
5.0%
I 34433
 
4.1%
Other values (16) 241689
28.8%
Common
ValueCountFrequency (%)
229551
35.4%
1 79490
 
12.3%
0 76878
 
11.8%
2 49267
 
7.6%
3 38055
 
5.9%
5 34956
 
5.4%
4 28199
 
4.3%
# 25092
 
3.9%
7 22565
 
3.5%
8 22498
 
3.5%
Other values (10) 42314
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1488666
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
229551
 
15.4%
E 82819
 
5.6%
R 81169
 
5.5%
1 79490
 
5.3%
0 76878
 
5.2%
L 68065
 
4.6%
N 66861
 
4.5%
A 65615
 
4.4%
S 56400
 
3.8%
T 51365
 
3.5%
Other values (36) 630453
42.4%
Distinct156
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size612.6 KiB
2024-02-21T21:12:40.251221image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.0152296
Min length5

Characters and Unicode

Total characters393194
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)< 0.1%

Sample

1st row75237
2nd row75021
3rd row75238
4th row75228
5th row75204
ValueCountFrequency (%)
75201 4678
 
6.0%
75220 3764
 
4.8%
75206 3342
 
4.3%
75243 3117
 
4.0%
75211 3059
 
3.9%
75217 3029
 
3.9%
75231 2968
 
3.8%
75229 2612
 
3.3%
75208 2564
 
3.3%
75228 2541
 
3.2%
Other values (146) 46726
59.6%
2024-02-21T21:12:40.545781image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 99831
25.4%
7 88264
22.4%
5 86466
22.0%
1 28741
 
7.3%
0 28285
 
7.2%
3 18164
 
4.6%
4 18079
 
4.6%
8 10780
 
2.7%
6 7753
 
2.0%
9 6645
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 393008
> 99.9%
Dash Punctuation 186
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 99831
25.4%
7 88264
22.5%
5 86466
22.0%
1 28741
 
7.3%
0 28285
 
7.2%
3 18164
 
4.6%
4 18079
 
4.6%
8 10780
 
2.7%
6 7753
 
2.0%
9 6645
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 186
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 393194
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 99831
25.4%
7 88264
22.4%
5 86466
22.0%
1 28741
 
7.3%
0 28285
 
7.2%
3 18164
 
4.6%
4 18079
 
4.6%
8 10780
 
2.7%
6 7753
 
2.0%
9 6645
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 393194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 99831
25.4%
7 88264
22.4%
5 86466
22.0%
1 28741
 
7.3%
0 28285
 
7.2%
3 18164
 
4.6%
4 18079
 
4.6%
8 10780
 
2.7%
6 7753
 
2.0%
9 6645
 
1.7%
Distinct623
Distinct (%)0.9%
Missing6540
Missing (%)8.3%
Memory size612.6 KiB
2024-02-21T21:12:40.761082image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length91
Mean length44.63209
Min length12

Characters and Unicode

Total characters3207262
Distinct characters82
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)0.2%

Sample

1st row*21 RFSM - Not On Site
2nd row*21 RFSM - Not On Site
3rd row*32 Equipment & Utensils smooth easily cleanable
4th row*18 Toxic items storage adjacent to food/utensils
5th row*29 Concentration of the sanitizing solution shall be accurately determined by using a test kit or o
ValueCountFrequency (%)
food 18153
 
3.5%
15483
 
3.0%
and 10955
 
2.1%
or 8923
 
1.7%
not 8710
 
1.7%
in 7983
 
1.5%
10 7713
 
1.5%
clean 6075
 
1.2%
on 5800
 
1.1%
good 5777
 
1.1%
Other values (1237) 420400
81.5%
2024-02-21T21:12:41.138153image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
452032
 
14.1%
e 250495
 
7.8%
o 239173
 
7.5%
n 191880
 
6.0%
t 189233
 
5.9%
i 179778
 
5.6%
a 167797
 
5.2%
s 145140
 
4.5%
r 140093
 
4.4%
d 118712
 
3.7%
Other values (72) 1132929
35.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2246739
70.1%
Space Separator 452032
 
14.1%
Decimal Number 180126
 
5.6%
Uppercase Letter 169781
 
5.3%
Other Punctuation 125092
 
3.9%
Dash Punctuation 21211
 
0.7%
Open Punctuation 5183
 
0.2%
Close Punctuation 5139
 
0.2%
Math Symbol 1959
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 250495
11.1%
o 239173
10.6%
n 191880
 
8.5%
t 189233
 
8.4%
i 179778
 
8.0%
a 167797
 
7.5%
s 145140
 
6.5%
r 140093
 
6.2%
d 118712
 
5.3%
l 95794
 
4.3%
Other values (18) 528644
23.5%
Uppercase Letter
ValueCountFrequency (%)
F 29714
17.5%
C 21356
12.6%
S 20769
12.2%
T 14318
8.4%
H 10016
 
5.9%
R 8976
 
5.3%
O 8482
 
5.0%
N 8043
 
4.7%
P 8021
 
4.7%
D 7823
 
4.6%
Other values (14) 32263
19.0%
Other Punctuation
ValueCountFrequency (%)
* 71852
57.4%
, 27039
 
21.6%
/ 12489
 
10.0%
. 5834
 
4.7%
& 3508
 
2.8%
: 2692
 
2.2%
' 1315
 
1.1%
? 230
 
0.2%
; 40
 
< 0.1%
" 37
 
< 0.1%
Other values (2) 56
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 33811
18.8%
4 30793
17.1%
2 28798
16.0%
0 23142
12.8%
3 21928
12.2%
5 13005
 
7.2%
9 9710
 
5.4%
7 8427
 
4.7%
8 5390
 
3.0%
6 5122
 
2.8%
Math Symbol
ValueCountFrequency (%)
> 1540
78.6%
< 219
 
11.2%
= 116
 
5.9%
+ 84
 
4.3%
Space Separator
ValueCountFrequency (%)
452032
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21211
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5183
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2416520
75.3%
Common 790742
 
24.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 250495
 
10.4%
o 239173
 
9.9%
n 191880
 
7.9%
t 189233
 
7.8%
i 179778
 
7.4%
a 167797
 
6.9%
s 145140
 
6.0%
r 140093
 
5.8%
d 118712
 
4.9%
l 95794
 
4.0%
Other values (42) 698425
28.9%
Common
ValueCountFrequency (%)
452032
57.2%
* 71852
 
9.1%
1 33811
 
4.3%
4 30793
 
3.9%
2 28798
 
3.6%
, 27039
 
3.4%
0 23142
 
2.9%
3 21928
 
2.8%
- 21211
 
2.7%
5 13005
 
1.6%
Other values (20) 67131
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3197556
99.7%
None 9706
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
452032
14.1%
e 250495
 
7.8%
o 239173
 
7.5%
n 191880
 
6.0%
t 189233
 
5.9%
i 179778
 
5.6%
a 167797
 
5.2%
s 145140
 
4.5%
r 140093
 
4.4%
d 118712
 
3.7%
Other values (69) 1123223
35.1%
None
ValueCountFrequency (%)
ø 9601
98.9%
õ 70
 
0.7%
§ 35
 
0.4%

Violation Points - 1
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing6540
Missing (%)8.3%
Memory size612.6 KiB
3.0
28287 
1.0
24812 
2.0
18760 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters215580
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 28287
36.1%
1.0 24812
31.6%
2.0 18760
23.9%
4.0 1
 
< 0.1%
(Missing) 6540
 
8.3%

Length

2024-02-21T21:12:41.282340image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:12:41.391660image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
3.0 28287
39.4%
1.0 24812
34.5%
2.0 18760
26.1%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 71860
33.3%
0 71860
33.3%
3 28287
 
13.1%
1 24812
 
11.5%
2 18760
 
8.7%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 143720
66.7%
Other Punctuation 71860
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 71860
50.0%
3 28287
 
19.7%
1 24812
 
17.3%
2 18760
 
13.1%
4 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 71860
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 215580
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 71860
33.3%
0 71860
33.3%
3 28287
 
13.1%
1 24812
 
11.5%
2 18760
 
8.7%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 215580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 71860
33.3%
0 71860
33.3%
3 28287
 
13.1%
1 24812
 
11.5%
2 18760
 
8.7%
4 1
 
< 0.1%

Violation Detail - 1
Text

MISSING 

Distinct642
Distinct (%)0.9%
Missing7091
Missing (%)9.0%
Memory size612.6 KiB
2024-02-21T21:12:41.607455image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length910
Median length734
Mean length375.65732
Min length125

Characters and Unicode

Total characters26787748
Distinct characters77
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)0.2%

Sample

1st rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
2nd rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
3rd row228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (4) finished to have a smooth, easily cleanable surface; and
4th row228.203 Poisonous or Toxic Materials. Storage, separation. Poisonous or toxic materials shall be stored so they cannot contaminate food, equipment, utensils, linens, and single-service and single-use articles by: (1) separating the poisonous or toxic materials by spacing or partitioning; and
5th row228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (p) Warewashing equipment, determining chemical sanitizer concentration. Concentration of the sanitizing solution shall be accurately determined by using a test kit or other device.
ValueCountFrequency (%)
and 208052
 
5.6%
food 154223
 
4.1%
of 126083
 
3.4%
the 117271
 
3.1%
a 97192
 
2.6%
in 84351
 
2.3%
shall 81969
 
2.2%
be 71939
 
1.9%
or 70429
 
1.9%
equipment 69101
 
1.9%
Other values (2595) 2643391
71.0%
2024-02-21T21:12:42.038493image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5457656
20.4%
e 2289102
 
8.5%
a 1567871
 
5.9%
n 1534213
 
5.7%
i 1532407
 
5.7%
t 1525424
 
5.7%
o 1466774
 
5.5%
s 1406625
 
5.3%
r 1077545
 
4.0%
d 907074
 
3.4%
Other values (67) 8023057
30.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 18795388
70.2%
Space Separator 5457656
 
20.4%
Other Punctuation 736635
 
2.7%
Decimal Number 657063
 
2.5%
Uppercase Letter 570734
 
2.1%
Close Punctuation 242075
 
0.9%
Open Punctuation 240364
 
0.9%
Dash Punctuation 87823
 
0.3%
Currency Symbol 10
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2289102
12.2%
a 1567871
 
8.3%
n 1534213
 
8.2%
i 1532407
 
8.2%
t 1525424
 
8.1%
o 1466774
 
7.8%
s 1406625
 
7.5%
r 1077545
 
5.7%
d 907074
 
4.8%
l 797998
 
4.2%
Other values (18) 4690355
25.0%
Uppercase Letter
ValueCountFrequency (%)
E 70189
12.3%
F 67281
11.8%
C 61656
10.8%
P 52980
9.3%
T 45968
8.1%
S 40067
 
7.0%
A 39269
 
6.9%
R 27678
 
4.8%
L 27412
 
4.8%
U 26356
 
4.6%
Other values (14) 111878
19.6%
Decimal Number
ValueCountFrequency (%)
2 221586
33.7%
1 148790
22.6%
8 92260
14.0%
7 40595
 
6.2%
5 36239
 
5.5%
3 34763
 
5.3%
4 29163
 
4.4%
6 28665
 
4.4%
0 17541
 
2.7%
9 7461
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 337148
45.8%
, 318541
43.2%
: 36770
 
5.0%
; 30614
 
4.2%
/ 8858
 
1.2%
' 2907
 
0.4%
# 1797
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 240361
> 99.9%
[ 2
 
< 0.1%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 242073
> 99.9%
] 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5457656
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87823
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 19366122
72.3%
Common 7421626
 
27.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2289102
11.8%
a 1567871
 
8.1%
n 1534213
 
7.9%
i 1532407
 
7.9%
t 1525424
 
7.9%
o 1466774
 
7.6%
s 1406625
 
7.3%
r 1077545
 
5.6%
d 907074
 
4.7%
l 797998
 
4.1%
Other values (42) 5261089
27.2%
Common
ValueCountFrequency (%)
5457656
73.5%
. 337148
 
4.5%
, 318541
 
4.3%
) 242073
 
3.3%
( 240361
 
3.2%
2 221586
 
3.0%
1 148790
 
2.0%
8 92260
 
1.2%
- 87823
 
1.2%
7 40595
 
0.5%
Other values (15) 234793
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26770706
99.9%
None 17041
 
0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5457656
20.4%
e 2289102
 
8.6%
a 1567871
 
5.9%
n 1534213
 
5.7%
i 1532407
 
5.7%
t 1525424
 
5.7%
o 1466774
 
5.5%
s 1406625
 
5.3%
r 1077545
 
4.0%
d 907074
 
3.4%
Other values (64) 8006015
29.9%
None
ValueCountFrequency (%)
õ 17039
> 99.9%
ñ 2
 
< 0.1%
Punctuation
ValueCountFrequency (%)
1
100.0%

Violation Memo - 1
Text

MISSING 

Distinct43930
Distinct (%)79.0%
Missing22783
Missing (%)29.1%
Memory size612.6 KiB
2024-02-21T21:12:42.275600image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length2326
Median length821
Mean length50.063578
Min length1

Characters and Unicode

Total characters2784386
Distinct characters105
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40950 ?
Unique (%)73.6%

Sample

1st rowregister with the City of Dallas: 7901 Goforth Rd Dallas, TX 75238 214-670-8083
2nd rowyou can not store utensils or food on cloth
3rd rowobserved chemical store next to the food
4th rowlow concentration at sanitizer bucket with100 ppm must be maintain at: 200- 400 ppm Quat concentration
5th rowreplace missing and shifting ceiling tiles
ValueCountFrequency (%)
in 13487
 
2.9%
the 10335
 
2.2%
food 8361
 
1.8%
of 8177
 
1.7%
on 8138
 
1.7%
and 7948
 
1.7%
clean 7563
 
1.6%
at 7510
 
1.6%
to 6313
 
1.3%
observed 5954
 
1.3%
Other values (12518) 387635
82.2%
2024-02-21T21:12:42.672703image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
443857
 
15.9%
e 212047
 
7.6%
o 139743
 
5.0%
a 128114
 
4.6%
i 120252
 
4.3%
t 120048
 
4.3%
n 118840
 
4.3%
r 115550
 
4.1%
s 110460
 
4.0%
d 77327
 
2.8%
Other values (95) 1198148
43.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1633370
58.7%
Uppercase Letter 600638
 
21.6%
Space Separator 443857
 
15.9%
Decimal Number 45232
 
1.6%
Other Punctuation 40049
 
1.4%
Dash Punctuation 12529
 
0.4%
Close Punctuation 3922
 
0.1%
Open Punctuation 3870
 
0.1%
Math Symbol 393
 
< 0.1%
Other Symbol 337
 
< 0.1%
Other values (6) 189
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 72634
12.1%
O 51347
 
8.5%
R 45835
 
7.6%
I 43206
 
7.2%
A 43060
 
7.2%
T 41204
 
6.9%
N 40701
 
6.8%
S 38548
 
6.4%
C 30513
 
5.1%
D 28552
 
4.8%
Other values (20) 165038
27.5%
Lowercase Letter
ValueCountFrequency (%)
e 212047
13.0%
o 139743
 
8.6%
a 128114
 
7.8%
i 120252
 
7.4%
t 120048
 
7.3%
n 118840
 
7.3%
r 115550
 
7.1%
s 110460
 
6.8%
d 77327
 
4.7%
l 72388
 
4.4%
Other values (19) 418601
25.6%
Other Punctuation
ValueCountFrequency (%)
. 19172
47.9%
, 9977
24.9%
/ 4201
 
10.5%
' 1623
 
4.1%
: 1405
 
3.5%
* 1023
 
2.6%
; 849
 
2.1%
& 560
 
1.4%
@ 557
 
1.4%
" 515
 
1.3%
Other values (5) 167
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 8569
18.9%
0 7215
16.0%
4 5493
12.1%
5 5053
11.2%
2 4844
10.7%
3 3762
8.3%
7 2958
 
6.5%
6 2878
 
6.4%
8 2403
 
5.3%
9 2057
 
4.5%
Math Symbol
ValueCountFrequency (%)
> 233
59.3%
< 98
24.9%
+ 53
 
13.5%
= 6
 
1.5%
~ 3
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 3846
99.4%
[ 23
 
0.6%
{ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3897
99.4%
] 25
 
0.6%
Final Punctuation
ValueCountFrequency (%)
43
75.4%
14
 
24.6%
Modifier Symbol
ValueCountFrequency (%)
^ 3
60.0%
` 2
40.0%
Space Separator
ValueCountFrequency (%)
443857
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12529
100.0%
Other Symbol
ValueCountFrequency (%)
° 337
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 65
100.0%
Initial Punctuation
ValueCountFrequency (%)
27
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 26
100.0%
Control
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2234008
80.2%
Common 550378
 
19.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 212047
 
9.5%
o 139743
 
6.3%
a 128114
 
5.7%
i 120252
 
5.4%
t 120048
 
5.4%
n 118840
 
5.3%
r 115550
 
5.2%
s 110460
 
4.9%
d 77327
 
3.5%
E 72634
 
3.3%
Other values (49) 1018993
45.6%
Common
ValueCountFrequency (%)
443857
80.6%
. 19172
 
3.5%
- 12529
 
2.3%
, 9977
 
1.8%
1 8569
 
1.6%
0 7215
 
1.3%
4 5493
 
1.0%
5 5053
 
0.9%
2 4844
 
0.9%
/ 4201
 
0.8%
Other values (36) 29468
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2783956
> 99.9%
None 346
 
< 0.1%
Punctuation 84
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
443857
 
15.9%
e 212047
 
7.6%
o 139743
 
5.0%
a 128114
 
4.6%
i 120252
 
4.3%
t 120048
 
4.3%
n 118840
 
4.3%
r 115550
 
4.2%
s 110460
 
4.0%
d 77327
 
2.8%
Other values (84) 1197718
43.0%
None
ValueCountFrequency (%)
° 337
97.4%
Ó 3
 
0.9%
Ñ 1
 
0.3%
í 1
 
0.3%
ñ 1
 
0.3%
Á 1
 
0.3%
É 1
 
0.3%
õ 1
 
0.3%
Punctuation
ValueCountFrequency (%)
43
51.2%
27
32.1%
14
 
16.7%
Distinct610
Distinct (%)0.9%
Missing14050
Missing (%)17.9%
Memory size612.6 KiB
2024-02-21T21:12:42.863419image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length89
Mean length44.763745
Min length12

Characters and Unicode

Total characters2880547
Distinct characters83
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)0.2%

Sample

1st row*42 Dirty nonfood contact surfaces
2nd row*11Food Donations - Damaged foods
3rd row*22 Handlers-Certificate Not On Site
4th row*28 Do not exceed manuf. use by date
5th row*45Floor, wall, ceiling - Exposed material
ValueCountFrequency (%)
food 16045
 
3.5%
14092
 
3.1%
and 8047
 
1.8%
not 7649
 
1.7%
in 7378
 
1.6%
or 5913
 
1.3%
on 5405
 
1.2%
site 5327
 
1.2%
10 5187
 
1.1%
equipment 4953
 
1.1%
Other values (1233) 379696
82.6%
2024-02-21T21:12:43.211121image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
402567
14.0%
e 229932
 
8.0%
o 209094
 
7.3%
n 176036
 
6.1%
t 172857
 
6.0%
i 169953
 
5.9%
a 151306
 
5.3%
s 138973
 
4.8%
r 129090
 
4.5%
d 100282
 
3.5%
Other values (73) 1000457
34.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2043129
70.9%
Space Separator 402567
 
14.0%
Decimal Number 152243
 
5.3%
Uppercase Letter 144573
 
5.0%
Other Punctuation 110663
 
3.8%
Dash Punctuation 20024
 
0.7%
Open Punctuation 2639
 
0.1%
Close Punctuation 2602
 
0.1%
Math Symbol 2107
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 229932
11.3%
o 209094
10.2%
n 176036
 
8.6%
t 172857
 
8.5%
i 169953
 
8.3%
a 151306
 
7.4%
s 138973
 
6.8%
r 129090
 
6.3%
d 100282
 
4.9%
l 82862
 
4.1%
Other values (18) 482744
23.6%
Uppercase Letter
ValueCountFrequency (%)
F 20988
14.5%
S 17788
12.3%
C 16494
11.4%
T 11878
 
8.2%
O 8077
 
5.6%
D 8014
 
5.5%
R 7954
 
5.5%
N 7481
 
5.2%
H 7429
 
5.1%
P 7410
 
5.1%
Other values (14) 31060
21.5%
Other Punctuation
ValueCountFrequency (%)
* 64344
58.1%
, 23211
 
21.0%
/ 10407
 
9.4%
. 5781
 
5.2%
& 3060
 
2.8%
: 2500
 
2.3%
' 1036
 
0.9%
? 206
 
0.2%
" 43
 
< 0.1%
; 36
 
< 0.1%
Other values (3) 39
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 27081
17.8%
1 26514
17.4%
4 25949
17.0%
3 21531
14.1%
0 14833
9.7%
5 9757
 
6.4%
9 8859
 
5.8%
7 7049
 
4.6%
8 5484
 
3.6%
6 5186
 
3.4%
Math Symbol
ValueCountFrequency (%)
> 1694
80.4%
< 206
 
9.8%
= 148
 
7.0%
+ 59
 
2.8%
Space Separator
ValueCountFrequency (%)
402567
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20024
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2639
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2602
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2187702
75.9%
Common 692845
 
24.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 229932
 
10.5%
o 209094
 
9.6%
n 176036
 
8.0%
t 172857
 
7.9%
i 169953
 
7.8%
a 151306
 
6.9%
s 138973
 
6.4%
r 129090
 
5.9%
d 100282
 
4.6%
l 82862
 
3.8%
Other values (42) 627317
28.7%
Common
ValueCountFrequency (%)
402567
58.1%
* 64344
 
9.3%
2 27081
 
3.9%
1 26514
 
3.8%
4 25949
 
3.7%
, 23211
 
3.4%
3 21531
 
3.1%
- 20024
 
2.9%
0 14833
 
2.1%
/ 10407
 
1.5%
Other values (21) 56384
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2876702
99.9%
None 3845
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
402567
14.0%
e 229932
 
8.0%
o 209094
 
7.3%
n 176036
 
6.1%
t 172857
 
6.0%
i 169953
 
5.9%
a 151306
 
5.3%
s 138973
 
4.8%
r 129090
 
4.5%
d 100282
 
3.5%
Other values (70) 996612
34.6%
None
ValueCountFrequency (%)
ø 3763
97.9%
õ 68
 
1.8%
§ 14
 
0.4%

Violation Points - 2
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing14050
Missing (%)17.9%
Memory size612.6 KiB
1.0
25911 
3.0
19406 
2.0
19032 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters193050
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row3.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 25911
33.0%
3.0 19406
24.8%
2.0 19032
24.3%
4.0 1
 
< 0.1%
(Missing) 14050
17.9%

Length

2024-02-21T21:12:43.352844image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:12:43.456182image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 25911
40.3%
3.0 19406
30.2%
2.0 19032
29.6%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 64350
33.3%
0 64350
33.3%
1 25911
13.4%
3 19406
 
10.1%
2 19032
 
9.9%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 128700
66.7%
Other Punctuation 64350
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 64350
50.0%
1 25911
20.1%
3 19406
 
15.1%
2 19032
 
14.8%
4 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 64350
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 193050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 64350
33.3%
0 64350
33.3%
1 25911
13.4%
3 19406
 
10.1%
2 19032
 
9.9%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 193050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 64350
33.3%
0 64350
33.3%
1 25911
13.4%
3 19406
 
10.1%
2 19032
 
9.9%
4 1
 
< 0.1%

Violation Detail - 2
Text

MISSING 

Distinct625
Distinct (%)1.0%
Missing14634
Missing (%)18.7%
Memory size612.6 KiB
2024-02-21T21:12:43.693881image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length910
Median length726
Mean length370.72137
Min length125

Characters and Unicode

Total characters23639419
Distinct characters79
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)0.2%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
2nd row228.83 Food. Donation of foods. (e) Damaged foods. Heavily rim or seam-dented canned foods, or packaged foods without the manufacturer#s complete labeling, shall not be donated.
3rd rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (e) The food establishment shall maintain on premises a certificate of completion of the food handler training course for each food employee. The requirement to complete a food handler training course shall be effective September 1, 2016.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat TCS food, date marking. (4) A date marking system that meets the criteria stated in paragraphs (1) and (2) of this subsection may include: (B) marking the date or day of preparation, with a procedure to discard the food on or before the last date or day by which the food must be consumed on the premises, sold, or discarded as specified in paragraph (1) of this subsection;
5th row(c) Floors, walls, and ceilings. (1) A food establishment containing a food handling area, food processing area, food preparation area, food storage area, equipment or utensil washing area, walk-in refrigerating unit, dressing room, locker room, toilet room, or vestibule shall: (C) prevent exposed construction in these areas, including but not limited to the exposure of pipes, conduits, ductwork, studs, joists, and rafters;
ValueCountFrequency (%)
and 179619
 
5.5%
food 138128
 
4.2%
of 111360
 
3.4%
the 109779
 
3.3%
a 89783
 
2.7%
shall 73898
 
2.3%
in 72869
 
2.2%
be 64277
 
2.0%
equipment 61810
 
1.9%
or 57940
 
1.8%
Other values (2600) 2323560
70.8%
2024-02-21T21:12:44.323807image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4773946
20.2%
e 2032680
 
8.6%
a 1391503
 
5.9%
n 1366642
 
5.8%
i 1363972
 
5.8%
t 1347391
 
5.7%
o 1286815
 
5.4%
s 1251344
 
5.3%
r 954528
 
4.0%
d 797447
 
3.4%
Other values (69) 7073151
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16654224
70.5%
Space Separator 4773946
 
20.2%
Other Punctuation 648559
 
2.7%
Decimal Number 569279
 
2.4%
Uppercase Letter 508967
 
2.2%
Close Punctuation 203185
 
0.9%
Open Punctuation 201527
 
0.9%
Dash Punctuation 79719
 
0.3%
Currency Symbol 12
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2032680
12.2%
a 1391503
 
8.4%
n 1366642
 
8.2%
i 1363972
 
8.2%
t 1347391
 
8.1%
o 1286815
 
7.7%
s 1251344
 
7.5%
r 954528
 
5.7%
d 797447
 
4.8%
l 711388
 
4.3%
Other values (18) 4150514
24.9%
Uppercase Letter
ValueCountFrequency (%)
E 60897
12.0%
F 58791
11.6%
P 51319
10.1%
C 50862
10.0%
T 36095
 
7.1%
A 35497
 
7.0%
S 35061
 
6.9%
L 26122
 
5.1%
R 26074
 
5.1%
U 24897
 
4.9%
Other values (14) 103352
20.3%
Decimal Number
ValueCountFrequency (%)
2 194604
34.2%
1 127466
22.4%
8 81733
14.4%
7 32440
 
5.7%
5 28193
 
5.0%
3 28120
 
4.9%
6 26694
 
4.7%
4 26236
 
4.6%
0 16287
 
2.9%
9 7506
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 300052
46.3%
, 281078
43.3%
: 30897
 
4.8%
; 26462
 
4.1%
/ 5947
 
0.9%
' 2359
 
0.4%
# 1760
 
0.3%
% 2
 
< 0.1%
" 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 203183
> 99.9%
] 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 201525
> 99.9%
[ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4773946
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79719
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 12
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17163191
72.6%
Common 6476228
 
27.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2032680
11.8%
a 1391503
 
8.1%
n 1366642
 
8.0%
i 1363972
 
7.9%
t 1347391
 
7.9%
o 1286815
 
7.5%
s 1251344
 
7.3%
r 954528
 
5.6%
d 797447
 
4.6%
l 711388
 
4.1%
Other values (42) 4659481
27.1%
Common
ValueCountFrequency (%)
4773946
73.7%
. 300052
 
4.6%
, 281078
 
4.3%
) 203183
 
3.1%
( 201525
 
3.1%
2 194604
 
3.0%
1 127466
 
2.0%
8 81733
 
1.3%
- 79719
 
1.2%
7 32440
 
0.5%
Other values (17) 200482
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23625247
99.9%
None 14172
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4773946
20.2%
e 2032680
 
8.6%
a 1391503
 
5.9%
n 1366642
 
5.8%
i 1363972
 
5.8%
t 1347391
 
5.7%
o 1286815
 
5.4%
s 1251344
 
5.3%
r 954528
 
4.0%
d 797447
 
3.4%
Other values (67) 7058979
29.9%
None
ValueCountFrequency (%)
õ 14171
> 99.9%
ñ 1
 
< 0.1%

Violation Memo - 2
Text

MISSING 

Distinct39019
Distinct (%)79.2%
Missing29118
Missing (%)37.1%
Memory size612.6 KiB
2024-02-21T21:12:44.599701image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length2569
Median length788
Mean length49.710523
Min length1

Characters and Unicode

Total characters2449834
Distinct characters102
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36198 ?
Unique (%)73.5%

Sample

1st rowdust accumulation on the fan covers inside the walk in cooler
2nd row7 dented cans removed from shelf
3rd rowEXPIRED FOOD PRODUCTS REMOVED FROM SHELVES
4th rowMUST REGISTER BY 9/17/18
5th rowObserved rinsing personal coffee mug in hand sink
ValueCountFrequency (%)
in 12529
 
3.0%
the 9244
 
2.2%
food 8150
 
2.0%
on 7724
 
1.9%
and 7062
 
1.7%
of 6940
 
1.7%
clean 6702
 
1.6%
to 5708
 
1.4%
at 5531
 
1.3%
observed 4861
 
1.2%
Other values (10750) 338343
82.0%
2024-02-21T21:12:45.049076image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
385216
 
15.7%
e 183013
 
7.5%
o 124937
 
5.1%
a 112359
 
4.6%
n 106659
 
4.4%
i 106653
 
4.4%
t 106302
 
4.3%
r 102282
 
4.2%
s 97933
 
4.0%
d 67545
 
2.8%
Other values (92) 1056935
43.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1443325
58.9%
Uppercase Letter 544365
 
22.2%
Space Separator 385216
 
15.7%
Other Punctuation 30418
 
1.2%
Decimal Number 27968
 
1.1%
Dash Punctuation 10843
 
0.4%
Close Punctuation 3492
 
0.1%
Open Punctuation 3436
 
0.1%
Math Symbol 300
 
< 0.1%
Other Symbol 247
 
< 0.1%
Other values (6) 224
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 183013
12.7%
o 124937
 
8.7%
a 112359
 
7.8%
n 106659
 
7.4%
i 106653
 
7.4%
t 106302
 
7.4%
r 102282
 
7.1%
s 97933
 
6.8%
d 67545
 
4.7%
l 65211
 
4.5%
Other values (18) 370431
25.7%
Uppercase Letter
ValueCountFrequency (%)
E 65387
12.0%
O 47650
 
8.8%
R 42651
 
7.8%
A 38988
 
7.2%
I 38972
 
7.2%
N 37759
 
6.9%
T 37182
 
6.8%
S 35581
 
6.5%
D 26395
 
4.8%
C 26113
 
4.8%
Other values (18) 147687
27.1%
Other Punctuation
ValueCountFrequency (%)
. 15161
49.8%
, 7521
24.7%
/ 3499
 
11.5%
: 906
 
3.0%
' 872
 
2.9%
; 691
 
2.3%
* 511
 
1.7%
" 505
 
1.7%
& 400
 
1.3%
@ 205
 
0.7%
Other values (5) 147
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 5338
19.1%
0 5160
18.4%
2 3339
11.9%
3 2670
9.5%
4 2667
9.5%
5 2419
8.6%
7 1972
 
7.1%
6 1654
 
5.9%
8 1468
 
5.2%
9 1281
 
4.6%
Math Symbol
ValueCountFrequency (%)
> 192
64.0%
< 57
 
19.0%
+ 42
 
14.0%
= 8
 
2.7%
~ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 3469
99.3%
] 23
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 3410
99.2%
[ 26
 
0.8%
Final Punctuation
ValueCountFrequency (%)
43
71.7%
17
 
28.3%
Control
ValueCountFrequency (%)
5
83.3%
 1
 
16.7%
Modifier Symbol
ValueCountFrequency (%)
` 2
66.7%
^ 1
33.3%
Space Separator
ValueCountFrequency (%)
385216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10843
100.0%
Other Symbol
ValueCountFrequency (%)
° 247
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 73
100.0%
Initial Punctuation
ValueCountFrequency (%)
46
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1987690
81.1%
Common 462144
 
18.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 183013
 
9.2%
o 124937
 
6.3%
a 112359
 
5.7%
n 106659
 
5.4%
i 106653
 
5.4%
t 106302
 
5.3%
r 102282
 
5.1%
s 97933
 
4.9%
d 67545
 
3.4%
E 65387
 
3.3%
Other values (46) 914620
46.0%
Common
ValueCountFrequency (%)
385216
83.4%
. 15161
 
3.3%
- 10843
 
2.3%
, 7521
 
1.6%
1 5338
 
1.2%
0 5160
 
1.1%
/ 3499
 
0.8%
) 3469
 
0.8%
( 3410
 
0.7%
2 3339
 
0.7%
Other values (36) 19188
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2449473
> 99.9%
None 255
 
< 0.1%
Punctuation 106
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
385216
 
15.7%
e 183013
 
7.5%
o 124937
 
5.1%
a 112359
 
4.6%
n 106659
 
4.4%
i 106653
 
4.4%
t 106302
 
4.3%
r 102282
 
4.2%
s 97933
 
4.0%
d 67545
 
2.8%
Other values (84) 1056574
43.1%
None
ValueCountFrequency (%)
° 247
96.9%
Á 3
 
1.2%
é 2
 
0.8%
ó 2
 
0.8%
Ú 1
 
0.4%
Punctuation
ValueCountFrequency (%)
46
43.4%
43
40.6%
17
 
16.0%
Distinct610
Distinct (%)1.1%
Missing22927
Missing (%)29.2%
Memory size612.6 KiB
2024-02-21T21:12:45.235736image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length89
Mean length44.737602
Min length12

Characters and Unicode

Total characters2481729
Distinct characters82
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)0.2%

Sample

1st row*36 Containers of chemical sanitizing solutions stored off the floor and used in a manner that preve
2nd row*24 Food Label- manufacture/packer/distrubtor name
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*45 Premises shall be maintained in good repair
5th row*02 Cold Hold (41øF/45øF or below)
ValueCountFrequency (%)
food 13915
 
3.5%
11956
 
3.0%
in 6336
 
1.6%
not 6234
 
1.6%
and 5985
 
1.5%
or 5459
 
1.4%
on 4472
 
1.1%
site 4422
 
1.1%
equipment 4323
 
1.1%
of 4313
 
1.1%
Other values (1234) 326903
82.9%
2024-02-21T21:12:45.578224image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344569
 
13.9%
e 198487
 
8.0%
o 179745
 
7.2%
n 150989
 
6.1%
t 148608
 
6.0%
i 148508
 
6.0%
a 127375
 
5.1%
s 123350
 
5.0%
r 111508
 
4.5%
d 84998
 
3.4%
Other values (72) 863592
34.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1763544
71.1%
Space Separator 344569
 
13.9%
Decimal Number 131509
 
5.3%
Uppercase Letter 122073
 
4.9%
Other Punctuation 96055
 
3.9%
Dash Punctuation 17453
 
0.7%
Open Punctuation 2331
 
0.1%
Close Punctuation 2302
 
0.1%
Math Symbol 1893
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 198487
11.3%
o 179745
10.2%
n 150989
 
8.6%
t 148608
 
8.4%
i 148508
 
8.4%
a 127375
 
7.2%
s 123350
 
7.0%
r 111508
 
6.3%
d 84998
 
4.8%
l 72057
 
4.1%
Other values (18) 417919
23.7%
Uppercase Letter
ValueCountFrequency (%)
F 17555
14.4%
S 14424
11.8%
C 13962
11.4%
T 9187
 
7.5%
D 7218
 
5.9%
O 6901
 
5.7%
H 6720
 
5.5%
R 6711
 
5.5%
N 6391
 
5.2%
P 6313
 
5.2%
Other values (14) 26691
21.9%
Other Punctuation
ValueCountFrequency (%)
* 55470
57.7%
, 20397
 
21.2%
/ 9270
 
9.7%
. 5058
 
5.3%
& 2445
 
2.5%
: 2203
 
2.3%
' 893
 
0.9%
? 183
 
0.2%
" 46
 
< 0.1%
; 43
 
< 0.1%
Other values (2) 47
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
4 24123
18.3%
2 23887
18.2%
1 21362
16.2%
3 19769
15.0%
0 10743
8.2%
5 8644
 
6.6%
9 7318
 
5.6%
7 6328
 
4.8%
6 4683
 
3.6%
8 4652
 
3.5%
Math Symbol
ValueCountFrequency (%)
> 1568
82.8%
< 140
 
7.4%
= 131
 
6.9%
+ 54
 
2.9%
Space Separator
ValueCountFrequency (%)
344569
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17453
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2302
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1885617
76.0%
Common 596112
 
24.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 198487
 
10.5%
o 179745
 
9.5%
n 150989
 
8.0%
t 148608
 
7.9%
i 148508
 
7.9%
a 127375
 
6.8%
s 123350
 
6.5%
r 111508
 
5.9%
d 84998
 
4.5%
l 72057
 
3.8%
Other values (42) 539992
28.6%
Common
ValueCountFrequency (%)
344569
57.8%
* 55470
 
9.3%
4 24123
 
4.0%
2 23887
 
4.0%
1 21362
 
3.6%
, 20397
 
3.4%
3 19769
 
3.3%
- 17453
 
2.9%
0 10743
 
1.8%
/ 9270
 
1.6%
Other values (20) 49069
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2478667
99.9%
None 3062
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344569
13.9%
e 198487
 
8.0%
o 179745
 
7.3%
n 150989
 
6.1%
t 148608
 
6.0%
i 148508
 
6.0%
a 127375
 
5.1%
s 123350
 
5.0%
r 111508
 
4.5%
d 84998
 
3.4%
Other values (69) 860530
34.7%
None
ValueCountFrequency (%)
ø 2973
97.1%
õ 69
 
2.3%
§ 20
 
0.7%

Violation Points - 3
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing22927
Missing (%)29.2%
Memory size612.6 KiB
1.0
24641 
2.0
16861 
3.0
13968 
4.0
 
3

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters166419
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 24641
31.4%
2.0 16861
21.5%
3.0 13968
17.8%
4.0 3
 
< 0.1%
(Missing) 22927
29.2%

Length

2024-02-21T21:12:45.716307image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:12:45.819297image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 24641
44.4%
2.0 16861
30.4%
3.0 13968
25.2%
4.0 3
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 55473
33.3%
0 55473
33.3%
1 24641
14.8%
2 16861
 
10.1%
3 13968
 
8.4%
4 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110946
66.7%
Other Punctuation 55473
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55473
50.0%
1 24641
22.2%
2 16861
 
15.2%
3 13968
 
12.6%
4 3
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 55473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 166419
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 55473
33.3%
0 55473
33.3%
1 24641
14.8%
2 16861
 
10.1%
3 13968
 
8.4%
4 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 166419
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 55473
33.3%
0 55473
33.3%
1 24641
14.8%
2 16861
 
10.1%
3 13968
 
8.4%
4 3
 
< 0.1%

Violation Detail - 3
Text

MISSING 

Distinct625
Distinct (%)1.1%
Missing23448
Missing (%)29.9%
Memory size612.6 KiB
2024-02-21T21:12:46.022609image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length1043
Median length715
Mean length368.63272
Min length125

Characters and Unicode

Total characters20257105
Distinct characters76
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)0.2%

Sample

1st row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (5) containers of chemical sanitizing solutions specified in paragraph (2)(A) of this subsection in which wet wiping cloths are held between uses shall be stored off the floor and used in a manner that prevents contamination of food, equipment, utensils, linens, single-service, or single-use articles. .
2nd row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (D) the name and place of business of the manufacturer, packer, or distributor; and
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
5th row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
ValueCountFrequency (%)
and 151435
 
5.4%
food 119263
 
4.2%
of 95526
 
3.4%
the 95058
 
3.4%
a 77812
 
2.8%
shall 63226
 
2.2%
in 61675
 
2.2%
be 55236
 
2.0%
equipment 51487
 
1.8%
or 49588
 
1.8%
Other values (2616) 1991217
70.8%
2024-02-21T21:12:46.410235image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4094563
20.2%
e 1745817
 
8.6%
a 1187777
 
5.9%
i 1175482
 
5.8%
n 1168719
 
5.8%
t 1150962
 
5.7%
o 1101082
 
5.4%
s 1076582
 
5.3%
r 820501
 
4.1%
d 680141
 
3.4%
Other values (66) 6055479
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14269001
70.4%
Space Separator 4094563
 
20.2%
Other Punctuation 558993
 
2.8%
Decimal Number 483211
 
2.4%
Uppercase Letter 441188
 
2.2%
Close Punctuation 172265
 
0.9%
Open Punctuation 170977
 
0.8%
Dash Punctuation 66905
 
0.3%
Currency Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1745817
12.2%
a 1187777
 
8.3%
i 1175482
 
8.2%
n 1168719
 
8.2%
t 1150962
 
8.1%
o 1101082
 
7.7%
s 1076582
 
7.5%
r 820501
 
5.8%
d 680141
 
4.8%
l 611521
 
4.3%
Other values (17) 3550417
24.9%
Uppercase Letter
ValueCountFrequency (%)
E 51870
11.8%
F 51324
11.6%
P 44924
10.2%
C 42608
9.7%
T 31260
 
7.1%
A 30188
 
6.8%
S 30156
 
6.8%
R 23091
 
5.2%
L 22775
 
5.2%
U 21465
 
4.9%
Other values (14) 91527
20.7%
Decimal Number
ValueCountFrequency (%)
2 166467
34.5%
1 106481
22.0%
8 69766
14.4%
7 27250
 
5.6%
5 23991
 
5.0%
3 23036
 
4.8%
4 23025
 
4.8%
6 22852
 
4.7%
0 13977
 
2.9%
9 6366
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 258114
46.2%
, 243267
43.5%
: 26039
 
4.7%
; 23278
 
4.2%
/ 5127
 
0.9%
' 1807
 
0.3%
# 1357
 
0.2%
" 4
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 172260
> 99.9%
] 5
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 170972
> 99.9%
[ 5
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4094563
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66905
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14710189
72.6%
Common 5546916
 
27.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1745817
11.9%
a 1187777
 
8.1%
i 1175482
 
8.0%
n 1168719
 
7.9%
t 1150962
 
7.8%
o 1101082
 
7.5%
s 1076582
 
7.3%
r 820501
 
5.6%
d 680141
 
4.6%
l 611521
 
4.2%
Other values (41) 3991605
27.1%
Common
ValueCountFrequency (%)
4094563
73.8%
. 258114
 
4.7%
, 243267
 
4.4%
) 172260
 
3.1%
( 170972
 
3.1%
2 166467
 
3.0%
1 106481
 
1.9%
8 69766
 
1.3%
- 66905
 
1.2%
7 27250
 
0.5%
Other values (15) 170871
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20245652
99.9%
None 11453
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4094563
20.2%
e 1745817
 
8.6%
a 1187777
 
5.9%
i 1175482
 
5.8%
n 1168719
 
5.8%
t 1150962
 
5.7%
o 1101082
 
5.4%
s 1076582
 
5.3%
r 820501
 
4.1%
d 680141
 
3.4%
Other values (65) 6044026
29.9%
None
ValueCountFrequency (%)
õ 11453
100.0%

Violation Memo - 3
Text

MISSING 

Distinct34052
Distinct (%)80.0%
Missing35814
Missing (%)45.7%
Memory size612.6 KiB
2024-02-21T21:12:46.652856image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length2397
Median length779
Mean length49.85406
Min length1

Characters and Unicode

Total characters2123085
Distinct characters106
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31683 ?
Unique (%)74.4%

Sample

1st rowFOOD PRODUCTS NOT PACKAGED FOR RESALE BEING SOLD
2nd rowCLEAN ALL
3rd rowdish washer
4th rowObserved frozen berries and chicken patties thawing in bags on prep table at ambient temperature. When thawing foods, use refrigeration or completely submerge under cool running water
5th rowHeimlich maneuver sign SEC. 17-11.2. ADDITIONAL REQUIREMENTS. (a) General. All food establishments that provide dining areas shall post the Heimlich maneuver sign in a place conspicuous to employees and customers. (b) Specifications: The sign shall: (1) be no smaller than 11 inches wide by 17 inches long; (2) be printed in English and Spanish and in at least two conspicuous contrasting colors on a white background; (3) provide major title and figure blocks in contrasting color to remaining copy blocks; (4) provide major headings with a minimum bold 72 point font; (5) provide initial subheadings with a minimum bold italic 60 point font; (6) provide secondary subheadings with a minimum bold 24 point font; and (7) provide a body copy in bold 14 point font.
ValueCountFrequency (%)
in 11375
 
3.2%
the 8275
 
2.3%
food 7382
 
2.1%
on 6602
 
1.9%
and 5855
 
1.6%
of 5840
 
1.6%
clean 5556
 
1.6%
to 5047
 
1.4%
at 4355
 
1.2%
provide 4090
 
1.1%
Other values (9623) 291922
81.9%
2024-02-21T21:12:47.061396image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
335719
 
15.8%
e 156478
 
7.4%
o 109214
 
5.1%
a 95590
 
4.5%
n 92661
 
4.4%
i 91902
 
4.3%
t 91483
 
4.3%
r 87715
 
4.1%
s 85770
 
4.0%
E 58472
 
2.8%
Other values (96) 918081
43.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1240235
58.4%
Uppercase Letter 481855
 
22.7%
Space Separator 335719
 
15.8%
Other Punctuation 26296
 
1.2%
Decimal Number 22116
 
1.0%
Dash Punctuation 10071
 
0.5%
Close Punctuation 3079
 
0.1%
Open Punctuation 3005
 
0.1%
Other Symbol 254
 
< 0.1%
Math Symbol 242
 
< 0.1%
Other values (6) 213
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 156478
12.6%
o 109214
 
8.8%
a 95590
 
7.7%
n 92661
 
7.5%
i 91902
 
7.4%
t 91483
 
7.4%
r 87715
 
7.1%
s 85770
 
6.9%
d 57746
 
4.7%
l 56733
 
4.6%
Other values (21) 314943
25.4%
Uppercase Letter
ValueCountFrequency (%)
E 58472
12.1%
O 42436
 
8.8%
R 38002
 
7.9%
I 34727
 
7.2%
A 34033
 
7.1%
N 33341
 
6.9%
T 33217
 
6.9%
S 31517
 
6.5%
D 23189
 
4.8%
L 22363
 
4.6%
Other values (18) 130558
27.1%
Other Punctuation
ValueCountFrequency (%)
. 13156
50.0%
, 6541
24.9%
/ 2830
 
10.8%
: 757
 
2.9%
' 719
 
2.7%
; 655
 
2.5%
* 431
 
1.6%
& 421
 
1.6%
" 388
 
1.5%
@ 139
 
0.5%
Other values (7) 259
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 4201
19.0%
0 3838
17.4%
2 2669
12.1%
4 2192
9.9%
3 2081
9.4%
5 1924
8.7%
7 1615
 
7.3%
6 1427
 
6.5%
8 1150
 
5.2%
9 1019
 
4.6%
Math Symbol
ValueCountFrequency (%)
> 132
54.5%
< 58
24.0%
+ 39
 
16.1%
= 8
 
3.3%
~ 5
 
2.1%
Close Punctuation
ValueCountFrequency (%)
) 3061
99.4%
] 18
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 2984
99.3%
[ 21
 
0.7%
Final Punctuation
ValueCountFrequency (%)
42
70.0%
18
30.0%
Modifier Symbol
ValueCountFrequency (%)
^ 3
75.0%
` 1
 
25.0%
Space Separator
ValueCountFrequency (%)
335719
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10071
100.0%
Other Symbol
ValueCountFrequency (%)
° 254
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 64
100.0%
Initial Punctuation
ValueCountFrequency (%)
50
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 30
100.0%
Control
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1722090
81.1%
Common 400995
 
18.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 156478
 
9.1%
o 109214
 
6.3%
a 95590
 
5.6%
n 92661
 
5.4%
i 91902
 
5.3%
t 91483
 
5.3%
r 87715
 
5.1%
s 85770
 
5.0%
E 58472
 
3.4%
d 57746
 
3.4%
Other values (49) 795059
46.2%
Common
ValueCountFrequency (%)
335719
83.7%
. 13156
 
3.3%
- 10071
 
2.5%
, 6541
 
1.6%
1 4201
 
1.0%
0 3838
 
1.0%
) 3061
 
0.8%
( 2984
 
0.7%
/ 2830
 
0.7%
2 2669
 
0.7%
Other values (37) 15925
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2122704
> 99.9%
None 268
 
< 0.1%
Punctuation 113
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
335719
 
15.8%
e 156478
 
7.4%
o 109214
 
5.1%
a 95590
 
4.5%
n 92661
 
4.4%
i 91902
 
4.3%
t 91483
 
4.3%
r 87715
 
4.1%
s 85770
 
4.0%
E 58472
 
2.8%
Other values (83) 917700
43.2%
None
ValueCountFrequency (%)
° 254
94.8%
ó 4
 
1.5%
á 3
 
1.1%
ú 2
 
0.7%
é 1
 
0.4%
§ 1
 
0.4%
ñ 1
 
0.4%
Á 1
 
0.4%
É 1
 
0.4%
Punctuation
ValueCountFrequency (%)
50
44.2%
42
37.2%
18
 
15.9%
3
 
2.7%
Distinct585
Distinct (%)1.3%
Missing31744
Missing (%)40.5%
Memory size612.6 KiB
2024-02-21T21:12:47.248376image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length89
Mean length44.998521
Min length12

Characters and Unicode

Total characters2099451
Distinct characters82
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)0.2%

Sample

1st row*39 In-use utensils, between-use storage. During pauses in food preparation or dispensing, food prep
2nd row*10 Clean Sight and Touch
3rd row*39 Cups may be reused if free of contamination
4th row*28 Date marking > 24 hrs,on site,temp 41F
5th row*19 No Hot Water / Water heater 50 gallon min.
ValueCountFrequency (%)
food 11755
 
3.5%
9552
 
2.9%
in 5398
 
1.6%
or 4867
 
1.5%
not 4859
 
1.5%
and 4752
 
1.4%
of 3858
 
1.2%
equipment 3712
 
1.1%
for 3677
 
1.1%
on 3516
 
1.1%
Other values (1209) 276206
83.2%
2024-02-21T21:12:47.586170image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
290156
 
13.8%
e 168047
 
8.0%
o 151800
 
7.2%
n 127862
 
6.1%
i 127282
 
6.1%
t 124691
 
5.9%
a 106514
 
5.1%
s 105777
 
5.0%
r 95013
 
4.5%
d 71273
 
3.4%
Other values (72) 731036
34.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1496120
71.3%
Space Separator 290156
 
13.8%
Decimal Number 111255
 
5.3%
Uppercase Letter 100443
 
4.8%
Other Punctuation 81300
 
3.9%
Dash Punctuation 14309
 
0.7%
Open Punctuation 2091
 
0.1%
Close Punctuation 2070
 
0.1%
Math Symbol 1707
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 168047
11.2%
o 151800
10.1%
n 127862
 
8.5%
i 127282
 
8.5%
t 124691
 
8.3%
a 106514
 
7.1%
s 105777
 
7.1%
r 95013
 
6.4%
d 71273
 
4.8%
l 61900
 
4.1%
Other values (18) 355961
23.8%
Uppercase Letter
ValueCountFrequency (%)
F 14614
14.5%
C 11872
11.8%
S 11398
11.3%
T 7096
 
7.1%
D 6253
 
6.2%
H 5686
 
5.7%
O 5652
 
5.6%
P 5378
 
5.4%
R 5327
 
5.3%
N 5050
 
5.0%
Other values (13) 22117
22.0%
Other Punctuation
ValueCountFrequency (%)
* 46650
57.4%
, 17576
 
21.6%
/ 8023
 
9.9%
. 4191
 
5.2%
: 1945
 
2.4%
& 1930
 
2.4%
' 706
 
0.9%
? 149
 
0.2%
" 48
 
0.1%
; 44
 
0.1%
Other values (3) 38
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
4 21373
19.2%
2 20097
18.1%
3 17400
15.6%
1 16884
15.2%
0 8403
 
7.6%
5 7791
 
7.0%
9 5900
 
5.3%
7 5327
 
4.8%
6 4295
 
3.9%
8 3785
 
3.4%
Math Symbol
ValueCountFrequency (%)
> 1418
83.1%
< 141
 
8.3%
= 114
 
6.7%
+ 34
 
2.0%
Space Separator
ValueCountFrequency (%)
290156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14309
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2091
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2070
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1596563
76.0%
Common 502888
 
24.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 168047
 
10.5%
o 151800
 
9.5%
n 127862
 
8.0%
i 127282
 
8.0%
t 124691
 
7.8%
a 106514
 
6.7%
s 105777
 
6.6%
r 95013
 
6.0%
d 71273
 
4.5%
l 61900
 
3.9%
Other values (41) 456404
28.6%
Common
ValueCountFrequency (%)
290156
57.7%
* 46650
 
9.3%
4 21373
 
4.3%
2 20097
 
4.0%
, 17576
 
3.5%
3 17400
 
3.5%
1 16884
 
3.4%
- 14309
 
2.8%
0 8403
 
1.7%
/ 8023
 
1.6%
Other values (21) 42017
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2096670
99.9%
None 2781
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
290156
 
13.8%
e 168047
 
8.0%
o 151800
 
7.2%
n 127862
 
6.1%
i 127282
 
6.1%
t 124691
 
5.9%
a 106514
 
5.1%
s 105777
 
5.0%
r 95013
 
4.5%
d 71273
 
3.4%
Other values (69) 728255
34.7%
None
ValueCountFrequency (%)
ø 2710
97.4%
õ 60
 
2.2%
§ 11
 
0.4%

Violation Points - 4
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing31744
Missing (%)40.5%
Memory size612.6 KiB
1.0
22242 
2.0
13783 
3.0
10631 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters139968
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 22242
28.4%
2.0 13783
17.6%
3.0 10631
 
13.6%
(Missing) 31744
40.5%

Length

2024-02-21T21:12:47.723650image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:12:47.817236image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 22242
47.7%
2.0 13783
29.5%
3.0 10631
22.8%

Most occurring characters

ValueCountFrequency (%)
. 46656
33.3%
0 46656
33.3%
1 22242
15.9%
2 13783
 
9.8%
3 10631
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 93312
66.7%
Other Punctuation 46656
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46656
50.0%
1 22242
23.8%
2 13783
 
14.8%
3 10631
 
11.4%
Other Punctuation
ValueCountFrequency (%)
. 46656
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 139968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 46656
33.3%
0 46656
33.3%
1 22242
15.9%
2 13783
 
9.8%
3 10631
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 139968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 46656
33.3%
0 46656
33.3%
1 22242
15.9%
2 13783
 
9.8%
3 10631
 
7.6%

Violation Detail - 4
Text

MISSING 

Distinct596
Distinct (%)1.3%
Missing32230
Missing (%)41.1%
Memory size612.6 KiB
2024-02-21T21:12:47.999340image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length1018
Median length714
Mean length368.0786
Min length125

Characters and Unicode

Total characters16994189
Distinct characters77
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)0.2%

Sample

1st row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (b) In-use utensils, between-use storage. During pauses in food preparation or dispensing, food preparation and dispensing utensils shall be stored: (5) in a clean, protected location if the utensils, such as ice scoops, are used only with a food that is not TCS; or
2nd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
3rd row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (f) Using clean tableware for second portions and refills. (3) Drinking cups and containers may be reused by self-service consumers if refilling is a contamination-free process as specified in õ228.106(1), (2), and (4) of this title.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
5th rowSEC. 17-5.2. ADDITIONAL REQUIREMENTS. (b) Hot water. Hot water generation and distribution systems must be sufficient to meet the peak hot water demands throughout the food establishment. Such systems must be of not less than 50-gallon water tank capacity.
ValueCountFrequency (%)
and 126813
 
5.4%
food 99546
 
4.2%
of 80637
 
3.4%
the 79062
 
3.4%
a 64623
 
2.7%
shall 52912
 
2.2%
in 52042
 
2.2%
be 46482
 
2.0%
equipment 43278
 
1.8%
or 42337
 
1.8%
Other values (2604) 1670400
70.8%
2024-02-21T21:12:48.378689image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3439459
20.2%
e 1466151
 
8.6%
a 991761
 
5.8%
i 989853
 
5.8%
n 981677
 
5.8%
t 963887
 
5.7%
o 925219
 
5.4%
s 905983
 
5.3%
r 688415
 
4.1%
d 568809
 
3.3%
Other values (67) 5072975
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11967348
70.4%
Space Separator 3439459
 
20.2%
Other Punctuation 472270
 
2.8%
Decimal Number 404342
 
2.4%
Uppercase Letter 368897
 
2.2%
Close Punctuation 143305
 
0.8%
Open Punctuation 142347
 
0.8%
Dash Punctuation 56215
 
0.3%
Currency Symbol 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1466151
12.3%
a 991761
 
8.3%
i 989853
 
8.3%
n 981677
 
8.2%
t 963887
 
8.1%
o 925219
 
7.7%
s 905983
 
7.6%
r 688415
 
5.8%
d 568809
 
4.8%
l 515531
 
4.3%
Other values (18) 2970062
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 44603
12.1%
E 43513
11.8%
P 37721
10.2%
C 36014
9.8%
T 26475
 
7.2%
S 24712
 
6.7%
A 24382
 
6.6%
L 19298
 
5.2%
R 18786
 
5.1%
U 18184
 
4.9%
Other values (14) 75209
20.4%
Decimal Number
ValueCountFrequency (%)
2 139643
34.5%
1 87783
21.7%
8 59091
14.6%
7 22618
 
5.6%
5 20507
 
5.1%
4 19775
 
4.9%
3 19387
 
4.8%
6 19151
 
4.7%
0 11334
 
2.8%
9 5053
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 215862
45.7%
, 207537
43.9%
: 21705
 
4.6%
; 20300
 
4.3%
/ 4484
 
0.9%
' 1347
 
0.3%
# 1033
 
0.2%
" 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 143304
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 142346
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3439459
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56215
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12336245
72.6%
Common 4657944
 
27.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1466151
11.9%
a 991761
 
8.0%
i 989853
 
8.0%
n 981677
 
8.0%
t 963887
 
7.8%
o 925219
 
7.5%
s 905983
 
7.3%
r 688415
 
5.6%
d 568809
 
4.6%
l 515531
 
4.2%
Other values (42) 3338959
27.1%
Common
ValueCountFrequency (%)
3439459
73.8%
. 215862
 
4.6%
, 207537
 
4.5%
) 143304
 
3.1%
( 142346
 
3.1%
2 139643
 
3.0%
1 87783
 
1.9%
8 59091
 
1.3%
- 56215
 
1.2%
7 22618
 
0.5%
Other values (15) 144086
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16984780
99.9%
None 9409
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3439459
20.3%
e 1466151
 
8.6%
a 991761
 
5.8%
i 989853
 
5.8%
n 981677
 
5.8%
t 963887
 
5.7%
o 925219
 
5.4%
s 905983
 
5.3%
r 688415
 
4.1%
d 568809
 
3.3%
Other values (65) 5063566
29.8%
None
ValueCountFrequency (%)
õ 9405
> 99.9%
ñ 4
 
< 0.1%

Violation Memo - 4
Text

MISSING 

Distinct28922
Distinct (%)80.2%
Missing42334
Missing (%)54.0%
Memory size612.6 KiB
2024-02-21T21:12:48.668417image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length3214
Median length757
Mean length49.484528
Min length1

Characters and Unicode

Total characters1784709
Distinct characters103
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26867 ?
Unique (%)74.5%

Sample

1st rowCLEAN ALL
2nd rowProvide date marking for the chicken and ham
3rd rowFix leak underneath 3 comp. sink
4th rowwet wiping cloth shall be stored in sanitizer bucket
5th rowhealth permit not posted
ValueCountFrequency (%)
in 9850
 
3.3%
the 6880
 
2.3%
food 6335
 
2.1%
on 5465
 
1.8%
and 4987
 
1.7%
clean 4801
 
1.6%
of 4662
 
1.6%
to 4058
 
1.4%
provide 3619
 
1.2%
at 3546
 
1.2%
Other values (8633) 245157
81.9%
2024-02-21T21:12:49.139995image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284997
 
16.0%
e 130525
 
7.3%
o 92253
 
5.2%
a 79814
 
4.5%
n 77677
 
4.4%
i 76345
 
4.3%
t 76249
 
4.3%
r 74077
 
4.2%
s 71457
 
4.0%
E 49263
 
2.8%
Other values (93) 772052
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1037371
58.1%
Uppercase Letter 408964
 
22.9%
Space Separator 284997
 
16.0%
Other Punctuation 22302
 
1.2%
Decimal Number 18037
 
1.0%
Dash Punctuation 7419
 
0.4%
Close Punctuation 2562
 
0.1%
Open Punctuation 2515
 
0.1%
Other Symbol 232
 
< 0.1%
Math Symbol 166
 
< 0.1%
Other values (6) 144
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 130525
12.6%
o 92253
 
8.9%
a 79814
 
7.7%
n 77677
 
7.5%
i 76345
 
7.4%
t 76249
 
7.4%
r 74077
 
7.1%
s 71457
 
6.9%
l 48331
 
4.7%
d 48056
 
4.6%
Other values (20) 262587
25.3%
Uppercase Letter
ValueCountFrequency (%)
E 49263
12.0%
O 36278
 
8.9%
R 32199
 
7.9%
I 29419
 
7.2%
A 29026
 
7.1%
N 28463
 
7.0%
T 28295
 
6.9%
S 26712
 
6.5%
D 19623
 
4.8%
L 19359
 
4.7%
Other values (18) 110327
27.0%
Other Punctuation
ValueCountFrequency (%)
. 11140
50.0%
, 5561
24.9%
/ 2421
 
10.9%
' 720
 
3.2%
: 670
 
3.0%
; 563
 
2.5%
* 374
 
1.7%
& 333
 
1.5%
" 307
 
1.4%
@ 106
 
0.5%
Other values (5) 107
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 3235
17.9%
0 2992
16.6%
2 2022
11.2%
4 1863
10.3%
3 1748
9.7%
5 1636
9.1%
7 1431
7.9%
6 1289
 
7.1%
8 993
 
5.5%
9 828
 
4.6%
Math Symbol
ValueCountFrequency (%)
> 98
59.0%
+ 33
 
19.9%
< 30
 
18.1%
~ 3
 
1.8%
= 2
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 2556
99.8%
] 6
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 2508
99.7%
[ 7
 
0.3%
Final Punctuation
ValueCountFrequency (%)
22
84.6%
4
 
15.4%
Modifier Symbol
ValueCountFrequency (%)
^ 4
80.0%
` 1
 
20.0%
Space Separator
ValueCountFrequency (%)
284997
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7419
100.0%
Other Symbol
ValueCountFrequency (%)
° 232
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 67
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 24
100.0%
Initial Punctuation
ValueCountFrequency (%)
19
100.0%
Control
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1446335
81.0%
Common 338374
 
19.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 130525
 
9.0%
o 92253
 
6.4%
a 79814
 
5.5%
n 77677
 
5.4%
i 76345
 
5.3%
t 76249
 
5.3%
r 74077
 
5.1%
s 71457
 
4.9%
E 49263
 
3.4%
l 48331
 
3.3%
Other values (48) 670344
46.3%
Common
ValueCountFrequency (%)
284997
84.2%
. 11140
 
3.3%
- 7419
 
2.2%
, 5561
 
1.6%
1 3235
 
1.0%
0 2992
 
0.9%
) 2556
 
0.8%
( 2508
 
0.7%
/ 2421
 
0.7%
2 2022
 
0.6%
Other values (35) 13523
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1784420
> 99.9%
None 244
 
< 0.1%
Punctuation 45
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284997
 
16.0%
e 130525
 
7.3%
o 92253
 
5.2%
a 79814
 
4.5%
n 77677
 
4.4%
i 76345
 
4.3%
t 76249
 
4.3%
r 74077
 
4.2%
s 71457
 
4.0%
E 49263
 
2.8%
Other values (83) 771763
43.3%
None
ValueCountFrequency (%)
° 232
95.1%
é 3
 
1.2%
ñ 3
 
1.2%
á 3
 
1.2%
ó 1
 
0.4%
Á 1
 
0.4%
Í 1
 
0.4%
Punctuation
ValueCountFrequency (%)
22
48.9%
19
42.2%
4
 
8.9%
Distinct562
Distinct (%)1.5%
Missing39897
Missing (%)50.9%
Memory size612.6 KiB
2024-02-21T21:12:49.409730image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length89
Mean length45.468457
Min length12

Characters and Unicode

Total characters1750672
Distinct characters83
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)0.3%

Sample

1st row*44 Trash can provided for papertowel waste
2nd row*09 Food protected cross contamination arrange each type food in equipment so cross is prevented
3rd row*03 Food products not maintained at 135øF or above
4th row*20 Grease Trap Tickets
5th row*33 Mech. warewash, hot water sanitizing, other machines
ValueCountFrequency (%)
food 10091
 
3.6%
7810
 
2.8%
in 4530
 
1.6%
or 4229
 
1.5%
and 3852
 
1.4%
not 3725
 
1.3%
of 3273
 
1.2%
for 3147
 
1.1%
equipment 3004
 
1.1%
the 2988
 
1.1%
Other values (1162) 229896
83.1%
2024-02-21T21:12:49.820717image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
241829
 
13.8%
e 140512
 
8.0%
o 127548
 
7.3%
n 106609
 
6.1%
i 106151
 
6.1%
t 103436
 
5.9%
s 89608
 
5.1%
a 88673
 
5.1%
r 79751
 
4.6%
d 59528
 
3.4%
Other values (73) 607027
34.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1251445
71.5%
Space Separator 241829
 
13.8%
Decimal Number 92267
 
5.3%
Uppercase Letter 80586
 
4.6%
Other Punctuation 67807
 
3.9%
Dash Punctuation 11737
 
0.7%
Open Punctuation 1794
 
0.1%
Close Punctuation 1769
 
0.1%
Math Symbol 1438
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 140512
11.2%
o 127548
10.2%
n 106609
 
8.5%
i 106151
 
8.5%
t 103436
 
8.3%
s 89608
 
7.2%
a 88673
 
7.1%
r 79751
 
6.4%
d 59528
 
4.8%
l 51928
 
4.1%
Other values (18) 297701
23.8%
Uppercase Letter
ValueCountFrequency (%)
F 12042
14.9%
C 9835
12.2%
S 8803
10.9%
T 5471
 
6.8%
D 5019
 
6.2%
H 4800
 
6.0%
P 4420
 
5.5%
O 4328
 
5.4%
R 4145
 
5.1%
E 3913
 
4.9%
Other values (15) 17810
22.1%
Other Punctuation
ValueCountFrequency (%)
* 38498
56.8%
, 14886
 
22.0%
/ 6722
 
9.9%
. 3524
 
5.2%
: 1705
 
2.5%
& 1634
 
2.4%
' 581
 
0.9%
? 105
 
0.2%
; 54
 
0.1%
" 54
 
0.1%
Other values (2) 44
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 18236
19.8%
2 15974
17.3%
3 14886
16.1%
1 13541
14.7%
0 6595
 
7.1%
5 6582
 
7.1%
9 4862
 
5.3%
7 4818
 
5.2%
6 3776
 
4.1%
8 2997
 
3.2%
Math Symbol
ValueCountFrequency (%)
> 1223
85.0%
< 114
 
7.9%
= 78
 
5.4%
+ 23
 
1.6%
Space Separator
ValueCountFrequency (%)
241829
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11737
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1794
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1769
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1332031
76.1%
Common 418641
 
23.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 140512
 
10.5%
o 127548
 
9.6%
n 106609
 
8.0%
i 106151
 
8.0%
t 103436
 
7.8%
s 89608
 
6.7%
a 88673
 
6.7%
r 79751
 
6.0%
d 59528
 
4.5%
l 51928
 
3.9%
Other values (43) 378287
28.4%
Common
ValueCountFrequency (%)
241829
57.8%
* 38498
 
9.2%
4 18236
 
4.4%
2 15974
 
3.8%
3 14886
 
3.6%
, 14886
 
3.6%
1 13541
 
3.2%
- 11737
 
2.8%
/ 6722
 
1.6%
0 6595
 
1.6%
Other values (20) 35737
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1748438
99.9%
None 2234
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
241829
 
13.8%
e 140512
 
8.0%
o 127548
 
7.3%
n 106609
 
6.1%
i 106151
 
6.1%
t 103436
 
5.9%
s 89608
 
5.1%
a 88673
 
5.1%
r 79751
 
4.6%
d 59528
 
3.4%
Other values (70) 604793
34.6%
None
ValueCountFrequency (%)
ø 2172
97.2%
õ 46
 
2.1%
§ 16
 
0.7%

Violation Points - 5
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing39897
Missing (%)50.9%
Memory size612.6 KiB
1.0
19300 
2.0
10900 
3.0
8302 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters115509
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row3.0
3rd row3.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 19300
24.6%
2.0 10900
 
13.9%
3.0 8302
 
10.6%
4.0 1
 
< 0.1%
(Missing) 39897
50.9%

Length

2024-02-21T21:12:49.962129image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:12:50.069541image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 19300
50.1%
2.0 10900
28.3%
3.0 8302
21.6%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 38503
33.3%
0 38503
33.3%
1 19300
16.7%
2 10900
 
9.4%
3 8302
 
7.2%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 77006
66.7%
Other Punctuation 38503
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38503
50.0%
1 19300
25.1%
2 10900
 
14.2%
3 8302
 
10.8%
4 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 38503
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 115509
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 38503
33.3%
0 38503
33.3%
1 19300
16.7%
2 10900
 
9.4%
3 8302
 
7.2%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115509
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 38503
33.3%
0 38503
33.3%
1 19300
16.7%
2 10900
 
9.4%
3 8302
 
7.2%
4 1
 
< 0.1%

Violation Detail - 5
Text

MISSING 

Distinct567
Distinct (%)1.5%
Missing40370
Missing (%)51.5%
Memory size612.6 KiB
2024-02-21T21:12:50.270166image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length910
Median length703
Mean length366.95738
Min length125

Characters and Unicode

Total characters13955389
Distinct characters77
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)0.3%

Sample

1st row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (g) Storage areas, rooms, and receptacles, capacity and availability. (3) If disposable towels are used at handwashing lavatories, a waste receptacle shall be located at each lavatory or group of adjacent lavatories.
2nd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; and
3rd row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);
4th rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
5th row228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (l) Mechanical warewashing equipment, hot water sanitization temperatures. (1) Except as specified in paragraph (2) of this subsection, in a mechanical operation, the temperature of the fresh hot water sanitizing rinse as it enters the manifold may not be more than 90 degrees Celsius (194 degrees Fahrenheit), or less than: (B) for all other machines, 82 degrees Celsius (180 degrees Fahrenheit).
ValueCountFrequency (%)
and 104204
 
5.4%
food 81964
 
4.2%
of 65870
 
3.4%
the 64630
 
3.3%
a 52977
 
2.7%
shall 43436
 
2.2%
in 42385
 
2.2%
be 38600
 
2.0%
or 35166
 
1.8%
equipment 34982
 
1.8%
Other values (2489) 1371294
70.8%
2024-02-21T21:12:50.683322image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2836851
20.3%
e 1198530
 
8.6%
i 813005
 
5.8%
a 812821
 
5.8%
n 805263
 
5.8%
t 789681
 
5.7%
o 761735
 
5.5%
s 745100
 
5.3%
r 561723
 
4.0%
d 466851
 
3.3%
Other values (67) 4163829
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9813023
70.3%
Space Separator 2836851
 
20.3%
Other Punctuation 389285
 
2.8%
Decimal Number 332057
 
2.4%
Uppercase Letter 303603
 
2.2%
Close Punctuation 117760
 
0.8%
Open Punctuation 117050
 
0.8%
Dash Punctuation 45755
 
0.3%
Currency Symbol 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1198530
12.2%
i 813005
 
8.3%
a 812821
 
8.3%
n 805263
 
8.2%
t 789681
 
8.0%
o 761735
 
7.8%
s 745100
 
7.6%
r 561723
 
5.7%
d 466851
 
4.8%
l 422937
 
4.3%
Other values (18) 2435377
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 37894
12.5%
E 35678
11.8%
P 31627
10.4%
C 29313
9.7%
T 21837
 
7.2%
S 20035
 
6.6%
A 19889
 
6.6%
L 15831
 
5.2%
R 14949
 
4.9%
U 14828
 
4.9%
Other values (14) 61722
20.3%
Decimal Number
ValueCountFrequency (%)
2 114824
34.6%
1 70549
21.2%
8 49256
14.8%
7 18577
 
5.6%
5 17312
 
5.2%
4 16649
 
5.0%
6 16255
 
4.9%
3 15519
 
4.7%
0 8941
 
2.7%
9 4175
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 177806
45.7%
, 171136
44.0%
: 18088
 
4.6%
; 16802
 
4.3%
/ 3707
 
1.0%
' 980
 
0.3%
# 766
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 117757
> 99.9%
] 3
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 117047
> 99.9%
[ 3
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2836851
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45755
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10116626
72.5%
Common 3838763
 
27.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1198530
11.8%
i 813005
 
8.0%
a 812821
 
8.0%
n 805263
 
8.0%
t 789681
 
7.8%
o 761735
 
7.5%
s 745100
 
7.4%
r 561723
 
5.6%
d 466851
 
4.6%
l 422937
 
4.2%
Other values (42) 2738980
27.1%
Common
ValueCountFrequency (%)
2836851
73.9%
. 177806
 
4.6%
, 171136
 
4.5%
) 117757
 
3.1%
( 117047
 
3.0%
2 114824
 
3.0%
1 70549
 
1.8%
8 49256
 
1.3%
- 45755
 
1.2%
7 18577
 
0.5%
Other values (15) 119205
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13947713
99.9%
None 7676
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2836851
20.3%
e 1198530
 
8.6%
i 813005
 
5.8%
a 812821
 
5.8%
n 805263
 
5.8%
t 789681
 
5.7%
o 761735
 
5.5%
s 745100
 
5.3%
r 561723
 
4.0%
d 466851
 
3.3%
Other values (65) 4156153
29.8%
None
ValueCountFrequency (%)
õ 7674
> 99.9%
ñ 2
 
< 0.1%

Violation Memo - 5
Text

MISSING 

Distinct24295
Distinct (%)81.0%
Missing48408
Missing (%)61.7%
Memory size612.6 KiB
2024-02-21T21:12:50.959853image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length1823
Median length724
Mean length49.388537
Min length2

Characters and Unicode

Total characters1481261
Distinct characters101
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22623 ?
Unique (%)75.4%

Sample

1st rowPROVIDE FOR ALL
2nd rowBrisket : 131'f
3rd rowNeed grease trap tix within 90 days.
4th rowdish washer 120 degrees f
5th rowBroken microwave. Panel loose on reach in cooler.
ValueCountFrequency (%)
in 8355
 
3.4%
the 5721
 
2.3%
food 5318
 
2.1%
on 4429
 
1.8%
and 4182
 
1.7%
clean 4021
 
1.6%
of 3786
 
1.5%
to 3299
 
1.3%
provide 3090
 
1.2%
all 2941
 
1.2%
Other values (7745) 203398
81.8%
2024-02-21T21:12:51.421006image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231699
 
15.6%
e 107019
 
7.2%
o 76328
 
5.2%
a 65432
 
4.4%
n 64129
 
4.3%
i 63100
 
4.3%
t 62691
 
4.2%
r 61005
 
4.1%
s 58960
 
4.0%
E 42047
 
2.8%
Other values (91) 648851
43.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 854082
57.7%
Uppercase Letter 350090
23.6%
Space Separator 231700
 
15.6%
Other Punctuation 18735
 
1.3%
Decimal Number 14154
 
1.0%
Dash Punctuation 7981
 
0.5%
Close Punctuation 2080
 
0.1%
Open Punctuation 2001
 
0.1%
Other Symbol 196
 
< 0.1%
Math Symbol 108
 
< 0.1%
Other values (6) 134
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 107019
12.5%
o 76328
 
8.9%
a 65432
 
7.7%
n 64129
 
7.5%
i 63100
 
7.4%
t 62691
 
7.3%
r 61005
 
7.1%
s 58960
 
6.9%
l 39944
 
4.7%
d 39896
 
4.7%
Other values (19) 215578
25.2%
Uppercase Letter
ValueCountFrequency (%)
E 42047
12.0%
O 31392
 
9.0%
R 27524
 
7.9%
I 25348
 
7.2%
N 24868
 
7.1%
A 24810
 
7.1%
T 24108
 
6.9%
S 22684
 
6.5%
D 16729
 
4.8%
L 16610
 
4.7%
Other values (18) 93970
26.8%
Other Punctuation
ValueCountFrequency (%)
. 9273
49.5%
, 4921
26.3%
/ 1946
 
10.4%
' 583
 
3.1%
: 513
 
2.7%
; 372
 
2.0%
* 345
 
1.8%
" 283
 
1.5%
& 273
 
1.5%
@ 91
 
0.5%
Other values (5) 135
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 2575
18.2%
0 2171
15.3%
2 1617
11.4%
4 1552
11.0%
3 1391
9.8%
5 1234
8.7%
7 1198
8.5%
6 1057
7.5%
8 748
 
5.3%
9 611
 
4.3%
Math Symbol
ValueCountFrequency (%)
> 70
64.8%
< 18
 
16.7%
+ 17
 
15.7%
= 3
 
2.8%
Space Separator
ValueCountFrequency (%)
231699
> 99.9%
  1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2072
99.6%
] 8
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 1995
99.7%
[ 6
 
0.3%
Final Punctuation
ValueCountFrequency (%)
41
83.7%
8
 
16.3%
Dash Punctuation
ValueCountFrequency (%)
- 7981
100.0%
Other Symbol
ValueCountFrequency (%)
° 196
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 35
100.0%
Initial Punctuation
ValueCountFrequency (%)
27
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1204172
81.3%
Common 277089
 
18.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 107019
 
8.9%
o 76328
 
6.3%
a 65432
 
5.4%
n 64129
 
5.3%
i 63100
 
5.2%
t 62691
 
5.2%
r 61005
 
5.1%
s 58960
 
4.9%
E 42047
 
3.5%
l 39944
 
3.3%
Other values (47) 563517
46.8%
Common
ValueCountFrequency (%)
231699
83.6%
. 9273
 
3.3%
- 7981
 
2.9%
, 4921
 
1.8%
1 2575
 
0.9%
0 2171
 
0.8%
) 2072
 
0.7%
( 1995
 
0.7%
/ 1946
 
0.7%
2 1617
 
0.6%
Other values (34) 10839
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1480979
> 99.9%
None 206
 
< 0.1%
Punctuation 76
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231699
 
15.6%
e 107019
 
7.2%
o 76328
 
5.2%
a 65432
 
4.4%
n 64129
 
4.3%
i 63100
 
4.3%
t 62691
 
4.2%
r 61005
 
4.1%
s 58960
 
4.0%
E 42047
 
2.8%
Other values (81) 648569
43.8%
None
ValueCountFrequency (%)
° 196
95.1%
á 4
 
1.9%
Á 2
 
1.0%
ñ 1
 
0.5%
  1
 
0.5%
û 1
 
0.5%
Ó 1
 
0.5%
Punctuation
ValueCountFrequency (%)
41
53.9%
27
35.5%
8
 
10.5%
Distinct551
Distinct (%)1.8%
Missing47251
Missing (%)60.3%
Memory size612.6 KiB
2024-02-21T21:12:51.598991image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length89
Mean length45.644676
Min length12

Characters and Unicode

Total characters1421786
Distinct characters82
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)0.4%

Sample

1st row*34 Outer openings:closing holes, gaps
2nd row*20 Grease Trap Tickets
3rd row*22 Handlers-Certificate Not On Site
4th row*42 Dirty nonfood contact surfaces
5th row*36 Cloths in-use for wiping between uses stored
ValueCountFrequency (%)
food 8390
 
3.7%
5958
 
2.7%
in 3611
 
1.6%
or 3516
 
1.6%
and 3153
 
1.4%
not 2820
 
1.3%
of 2698
 
1.2%
for 2624
 
1.2%
equipment 2515
 
1.1%
the 2366
 
1.1%
Other values (1167) 186214
83.2%
2024-02-21T21:12:51.938560image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195729
 
13.8%
e 114144
 
8.0%
o 104120
 
7.3%
n 87322
 
6.1%
i 86274
 
6.1%
t 84006
 
5.9%
s 73519
 
5.2%
a 71390
 
5.0%
r 64882
 
4.6%
d 48570
 
3.4%
Other values (72) 491830
34.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1019511
71.7%
Space Separator 195729
 
13.8%
Decimal Number 74048
 
5.2%
Uppercase Letter 64139
 
4.5%
Other Punctuation 55134
 
3.9%
Dash Punctuation 9305
 
0.7%
Open Punctuation 1432
 
0.1%
Close Punctuation 1408
 
0.1%
Math Symbol 1080
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 114144
11.2%
o 104120
10.2%
n 87322
 
8.6%
i 86274
 
8.5%
t 84006
 
8.2%
s 73519
 
7.2%
a 71390
 
7.0%
r 64882
 
6.4%
d 48570
 
4.8%
l 41815
 
4.1%
Other values (18) 243469
23.9%
Uppercase Letter
ValueCountFrequency (%)
F 9587
14.9%
C 8092
12.6%
S 6783
10.6%
T 4363
 
6.8%
D 3928
 
6.1%
H 3809
 
5.9%
P 3536
 
5.5%
O 3439
 
5.4%
E 3249
 
5.1%
R 3164
 
4.9%
Other values (14) 14189
22.1%
Other Punctuation
ValueCountFrequency (%)
* 31148
56.5%
, 12330
 
22.4%
/ 5442
 
9.9%
. 2797
 
5.1%
: 1491
 
2.7%
& 1266
 
2.3%
' 466
 
0.8%
? 83
 
0.2%
; 42
 
0.1%
" 34
 
0.1%
Other values (2) 35
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 14966
20.2%
3 12386
16.7%
2 12298
16.6%
1 10498
14.2%
5 5339
 
7.2%
0 5311
 
7.2%
7 4015
 
5.4%
9 3797
 
5.1%
6 3177
 
4.3%
8 2261
 
3.1%
Math Symbol
ValueCountFrequency (%)
> 887
82.1%
< 113
 
10.5%
= 64
 
5.9%
+ 16
 
1.5%
Space Separator
ValueCountFrequency (%)
195729
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9305
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1432
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1408
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1083650
76.2%
Common 338136
 
23.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 114144
 
10.5%
o 104120
 
9.6%
n 87322
 
8.1%
i 86274
 
8.0%
t 84006
 
7.8%
s 73519
 
6.8%
a 71390
 
6.6%
r 64882
 
6.0%
d 48570
 
4.5%
l 41815
 
3.9%
Other values (42) 307608
28.4%
Common
ValueCountFrequency (%)
195729
57.9%
* 31148
 
9.2%
4 14966
 
4.4%
3 12386
 
3.7%
, 12330
 
3.6%
2 12298
 
3.6%
1 10498
 
3.1%
- 9305
 
2.8%
/ 5442
 
1.6%
5 5339
 
1.6%
Other values (20) 28695
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1419976
99.9%
None 1810
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
195729
 
13.8%
e 114144
 
8.0%
o 104120
 
7.3%
n 87322
 
6.1%
i 86274
 
6.1%
t 84006
 
5.9%
s 73519
 
5.2%
a 71390
 
5.0%
r 64882
 
4.6%
d 48570
 
3.4%
Other values (69) 490020
34.5%
None
ValueCountFrequency (%)
ø 1770
97.8%
õ 25
 
1.4%
§ 15
 
0.8%

Violation Points - 6
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing47251
Missing (%)60.3%
Memory size612.6 KiB
1.0
16278 
2.0
8238 
3.0
6633 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters93447
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 16278
 
20.8%
2.0 8238
 
10.5%
3.0 6633
 
8.5%
(Missing) 47251
60.3%

Length

2024-02-21T21:12:52.080777image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:12:52.180434image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 16278
52.3%
2.0 8238
26.4%
3.0 6633
21.3%

Most occurring characters

ValueCountFrequency (%)
. 31149
33.3%
0 31149
33.3%
1 16278
17.4%
2 8238
 
8.8%
3 6633
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62298
66.7%
Other Punctuation 31149
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31149
50.0%
1 16278
26.1%
2 8238
 
13.2%
3 6633
 
10.6%
Other Punctuation
ValueCountFrequency (%)
. 31149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93447
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 31149
33.3%
0 31149
33.3%
1 16278
17.4%
2 8238
 
8.8%
3 6633
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93447
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 31149
33.3%
0 31149
33.3%
1 16278
17.4%
2 8238
 
8.8%
3 6633
 
7.1%

Violation Detail - 6
Text

MISSING 

Distinct556
Distinct (%)1.8%
Missing47643
Missing (%)60.8%
Memory size612.6 KiB
2024-02-21T21:12:52.383361image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length1018
Median length727
Mean length366.41896
Min length125

Characters and Unicode

Total characters11269948
Distinct characters76
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)0.4%

Sample

1st row228.174 Physical Facilities. Functionality. (e) Outer openings, protected. (1) Except as specified in paragraphs (2) - (5) of this subsection, outer openings of a food establishment shall be protected against the entry of insects and rodents by: (A) filling or closing holes and other gaps along floors, walls and ceilings;
2nd rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
3rd rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (e) The food establishment shall maintain on premises a certificate of completion of the food handler training course for each food employee. The requirement to complete a food handler training course shall be effective September 1, 2016.
4th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
5th row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; and
ValueCountFrequency (%)
and 85021
 
5.4%
food 65045
 
4.2%
of 53446
 
3.4%
the 50492
 
3.2%
a 42395
 
2.7%
shall 34909
 
2.2%
in 34193
 
2.2%
be 31142
 
2.0%
equipment 28819
 
1.8%
or 28335
 
1.8%
Other values (2499) 1107054
70.9%
2024-02-21T21:12:52.763824image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2295184
20.4%
e 963834
 
8.6%
i 658989
 
5.8%
n 654653
 
5.8%
a 653862
 
5.8%
t 636157
 
5.6%
o 615171
 
5.5%
s 604748
 
5.4%
r 450541
 
4.0%
d 375195
 
3.3%
Other values (66) 3361614
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7921543
70.3%
Space Separator 2295184
 
20.4%
Other Punctuation 316427
 
2.8%
Decimal Number 267653
 
2.4%
Uppercase Letter 243292
 
2.2%
Close Punctuation 94837
 
0.8%
Open Punctuation 94264
 
0.8%
Dash Punctuation 36740
 
0.3%
Currency Symbol 8
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 963834
12.2%
i 658989
 
8.3%
n 654653
 
8.3%
a 653862
 
8.3%
t 636157
 
8.0%
o 615171
 
7.8%
s 604748
 
7.6%
r 450541
 
5.7%
d 375195
 
4.7%
l 342669
 
4.3%
Other values (18) 1965724
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 31013
12.7%
E 28818
11.8%
P 25797
10.6%
C 23648
9.7%
T 17114
 
7.0%
A 15701
 
6.5%
S 15576
 
6.4%
L 12826
 
5.3%
U 11968
 
4.9%
R 11628
 
4.8%
Other values (14) 49203
20.2%
Decimal Number
ValueCountFrequency (%)
2 92764
34.7%
1 57018
21.3%
8 40129
15.0%
7 14839
 
5.5%
5 13749
 
5.1%
6 13348
 
5.0%
4 13256
 
5.0%
3 12279
 
4.6%
0 7034
 
2.6%
9 3237
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 143728
45.4%
, 139755
44.2%
: 14707
 
4.6%
; 14080
 
4.4%
/ 2813
 
0.9%
' 736
 
0.2%
# 608
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 94836
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 94263
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2295184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36740
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8164835
72.4%
Common 3105113
 
27.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 963834
11.8%
i 658989
 
8.1%
n 654653
 
8.0%
a 653862
 
8.0%
t 636157
 
7.8%
o 615171
 
7.5%
s 604748
 
7.4%
r 450541
 
5.5%
d 375195
 
4.6%
l 342669
 
4.2%
Other values (42) 2209016
27.1%
Common
ValueCountFrequency (%)
2295184
73.9%
. 143728
 
4.6%
, 139755
 
4.5%
) 94836
 
3.1%
( 94263
 
3.0%
2 92764
 
3.0%
1 57018
 
1.8%
8 40129
 
1.3%
- 36740
 
1.2%
7 14839
 
0.5%
Other values (14) 95857
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11263755
99.9%
None 6193
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2295184
20.4%
e 963834
 
8.6%
i 658989
 
5.9%
n 654653
 
5.8%
a 653862
 
5.8%
t 636157
 
5.6%
o 615171
 
5.5%
s 604748
 
5.4%
r 450541
 
4.0%
d 375195
 
3.3%
Other values (64) 3355421
29.8%
None
ValueCountFrequency (%)
õ 6191
> 99.9%
ñ 2
 
< 0.1%

Violation Memo - 6
Text

MISSING 

Distinct19871
Distinct (%)81.2%
Missing53926
Missing (%)68.8%
Memory size612.6 KiB
2024-02-21T21:12:53.035402image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length1665
Median length667
Mean length49.215453
Min length1

Characters and Unicode

Total characters1204499
Distinct characters105
Distinct categories15 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18557 ?
Unique (%)75.8%

Sample

1st rowSEAL ALL HOLES AND GAPS
2nd rowHave food handler cards from employees by next visit.
3rd rowclean cappuccino machine
4th rowMoist mop cloth stored on cutting board portion of reach in cooler. When not in employee's hands, such mop cloths should be stored in sanitizing solution. Such moist environments with food particles may act as an environment for pathogen growth.
5th rowapply for change of ownership - new owner 3-20634-3255-6
ValueCountFrequency (%)
in 6883
 
3.4%
the 4591
 
2.3%
food 4423
 
2.2%
on 3560
 
1.8%
and 3526
 
1.7%
clean 3434
 
1.7%
of 3029
 
1.5%
to 2699
 
1.3%
provide 2618
 
1.3%
all 2472
 
1.2%
Other values (6934) 164974
81.6%
2024-02-21T21:12:53.479419image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
187286
 
15.5%
e 86097
 
7.1%
o 62367
 
5.2%
a 52548
 
4.4%
n 52040
 
4.3%
i 50798
 
4.2%
t 50079
 
4.2%
r 49667
 
4.1%
s 47380
 
3.9%
E 35020
 
2.9%
Other values (95) 531217
44.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 689446
57.2%
Uppercase Letter 292118
24.3%
Space Separator 187286
 
15.5%
Other Punctuation 15232
 
1.3%
Decimal Number 11264
 
0.9%
Dash Punctuation 5598
 
0.5%
Close Punctuation 1622
 
0.1%
Open Punctuation 1546
 
0.1%
Other Symbol 181
 
< 0.1%
Math Symbol 96
 
< 0.1%
Other values (5) 110
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 86097
12.5%
o 62367
 
9.0%
a 52548
 
7.6%
n 52040
 
7.5%
i 50798
 
7.4%
t 50079
 
7.3%
r 49667
 
7.2%
s 47380
 
6.9%
d 32460
 
4.7%
l 32118
 
4.7%
Other values (21) 173892
25.2%
Uppercase Letter
ValueCountFrequency (%)
E 35020
12.0%
O 25809
 
8.8%
R 22540
 
7.7%
I 21309
 
7.3%
A 21014
 
7.2%
N 20920
 
7.2%
T 20260
 
6.9%
S 18930
 
6.5%
L 14277
 
4.9%
D 13725
 
4.7%
Other values (19) 78314
26.8%
Other Punctuation
ValueCountFrequency (%)
. 7573
49.7%
, 4101
26.9%
/ 1566
 
10.3%
' 444
 
2.9%
: 412
 
2.7%
; 262
 
1.7%
* 257
 
1.7%
& 256
 
1.7%
" 195
 
1.3%
! 58
 
0.4%
Other values (6) 108
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 1989
17.7%
0 1765
15.7%
2 1317
11.7%
3 1159
10.3%
4 1131
10.0%
5 1098
9.7%
7 844
7.5%
6 820
7.3%
8 624
 
5.5%
9 517
 
4.6%
Math Symbol
ValueCountFrequency (%)
> 45
46.9%
< 25
26.0%
+ 23
24.0%
= 2
 
2.1%
~ 1
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 5597
> 99.9%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 1614
99.5%
] 8
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 1538
99.5%
[ 8
 
0.5%
Final Punctuation
ValueCountFrequency (%)
17
70.8%
7
29.2%
Space Separator
ValueCountFrequency (%)
187286
100.0%
Other Symbol
ValueCountFrequency (%)
° 181
100.0%
Initial Punctuation
ValueCountFrequency (%)
31
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 26
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 25
100.0%
Control
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 981564
81.5%
Common 222935
 
18.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 86097
 
8.8%
o 62367
 
6.4%
a 52548
 
5.4%
n 52040
 
5.3%
i 50798
 
5.2%
t 50079
 
5.1%
r 49667
 
5.1%
s 47380
 
4.8%
E 35020
 
3.6%
d 32460
 
3.3%
Other values (50) 463108
47.2%
Common
ValueCountFrequency (%)
187286
84.0%
. 7573
 
3.4%
- 5597
 
2.5%
, 4101
 
1.8%
1 1989
 
0.9%
0 1765
 
0.8%
) 1614
 
0.7%
/ 1566
 
0.7%
( 1538
 
0.7%
2 1317
 
0.6%
Other values (35) 8589
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1204244
> 99.9%
None 196
 
< 0.1%
Punctuation 59
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
187286
 
15.6%
e 86097
 
7.1%
o 62367
 
5.2%
a 52548
 
4.4%
n 52040
 
4.3%
i 50798
 
4.2%
t 50079
 
4.2%
r 49667
 
4.1%
s 47380
 
3.9%
E 35020
 
2.9%
Other values (81) 530962
44.1%
None
ValueCountFrequency (%)
° 181
92.3%
á 4
 
2.0%
í 3
 
1.5%
Í 2
 
1.0%
Ó 2
 
1.0%
ó 1
 
0.5%
û 1
 
0.5%
é 1
 
0.5%
Á 1
 
0.5%
Punctuation
ValueCountFrequency (%)
31
52.5%
17
28.8%
7
 
11.9%
3
 
5.1%
1
 
1.7%
Distinct496
Distinct (%)2.0%
Missing53767
Missing (%)68.6%
Memory size612.6 KiB
2024-02-21T21:12:53.689974image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length89
Mean length45.996955
Min length12

Characters and Unicode

Total characters1133043
Distinct characters81
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)0.4%

Sample

1st row*35 Hair Restraints effective
2nd row*28 Date marking commercially prepared RTE/ TCS food
3rd row*47 Conditions of Permit-in use of food equipment
4th row*10 Equipment and Utensils Sanitization
5th row*38 Thawing. under running water criteria - water velocity
ValueCountFrequency (%)
food 6985
 
3.9%
4561
 
2.6%
in 2957
 
1.7%
or 2904
 
1.6%
and 2353
 
1.3%
of 2232
 
1.3%
not 2177
 
1.2%
for 2077
 
1.2%
the 2040
 
1.1%
equipment 1876
 
1.1%
Other values (1093) 148289
83.1%
2024-02-21T21:12:54.241754image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156296
13.8%
e 91140
 
8.0%
o 83990
 
7.4%
n 69399
 
6.1%
i 68947
 
6.1%
t 66682
 
5.9%
s 59134
 
5.2%
a 56915
 
5.0%
r 52128
 
4.6%
d 38692
 
3.4%
Other values (71) 389720
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 813920
71.8%
Space Separator 156296
 
13.8%
Decimal Number 58774
 
5.2%
Uppercase Letter 49713
 
4.4%
Other Punctuation 43863
 
3.9%
Dash Punctuation 7227
 
0.6%
Open Punctuation 1214
 
0.1%
Close Punctuation 1196
 
0.1%
Math Symbol 840
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 91140
11.2%
o 83990
10.3%
n 69399
 
8.5%
i 68947
 
8.5%
t 66682
 
8.2%
s 59134
 
7.3%
a 56915
 
7.0%
r 52128
 
6.4%
d 38692
 
4.8%
l 33213
 
4.1%
Other values (18) 193680
23.8%
Uppercase Letter
ValueCountFrequency (%)
F 7755
15.6%
C 6204
12.5%
S 5222
10.5%
T 3419
 
6.9%
H 2978
 
6.0%
D 2901
 
5.8%
P 2858
 
5.7%
O 2654
 
5.3%
R 2456
 
4.9%
E 2387
 
4.8%
Other values (13) 10879
21.9%
Other Punctuation
ValueCountFrequency (%)
* 24633
56.2%
, 9894
22.6%
/ 4501
 
10.3%
. 2216
 
5.1%
: 1169
 
2.7%
& 931
 
2.1%
' 367
 
0.8%
? 66
 
0.2%
; 41
 
0.1%
" 22
 
0.1%
Other values (2) 23
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 11916
20.3%
3 9787
16.7%
2 9479
16.1%
1 8081
13.7%
5 4485
 
7.6%
0 4357
 
7.4%
7 3250
 
5.5%
9 3083
 
5.2%
6 2611
 
4.4%
8 1725
 
2.9%
Math Symbol
ValueCountFrequency (%)
> 693
82.5%
< 89
 
10.6%
= 45
 
5.4%
+ 13
 
1.5%
Space Separator
ValueCountFrequency (%)
156296
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1214
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 863633
76.2%
Common 269410
 
23.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 91140
 
10.6%
o 83990
 
9.7%
n 69399
 
8.0%
i 68947
 
8.0%
t 66682
 
7.7%
s 59134
 
6.8%
a 56915
 
6.6%
r 52128
 
6.0%
d 38692
 
4.5%
l 33213
 
3.8%
Other values (41) 243393
28.2%
Common
ValueCountFrequency (%)
156296
58.0%
* 24633
 
9.1%
4 11916
 
4.4%
, 9894
 
3.7%
3 9787
 
3.6%
2 9479
 
3.5%
1 8081
 
3.0%
- 7227
 
2.7%
/ 4501
 
1.7%
5 4485
 
1.7%
Other values (20) 23111
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1131560
99.9%
None 1483
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156296
13.8%
e 91140
 
8.1%
o 83990
 
7.4%
n 69399
 
6.1%
i 68947
 
6.1%
t 66682
 
5.9%
s 59134
 
5.2%
a 56915
 
5.0%
r 52128
 
4.6%
d 38692
 
3.4%
Other values (68) 388237
34.3%
None
ValueCountFrequency (%)
ø 1451
97.8%
õ 21
 
1.4%
§ 11
 
0.7%

Violation Points - 7
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing53767
Missing (%)68.6%
Memory size612.6 KiB
1.0
13195 
2.0
6180 
3.0
5257 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters73899
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 13195
 
16.8%
2.0 6180
 
7.9%
3.0 5257
 
6.7%
4.0 1
 
< 0.1%
(Missing) 53767
68.6%

Length

2024-02-21T21:12:54.382543image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:12:54.485336image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 13195
53.6%
2.0 6180
25.1%
3.0 5257
 
21.3%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 24633
33.3%
0 24633
33.3%
1 13195
17.9%
2 6180
 
8.4%
3 5257
 
7.1%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49266
66.7%
Other Punctuation 24633
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24633
50.0%
1 13195
26.8%
2 6180
 
12.5%
3 5257
 
10.7%
4 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 24633
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73899
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 24633
33.3%
0 24633
33.3%
1 13195
17.9%
2 6180
 
8.4%
3 5257
 
7.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 24633
33.3%
0 24633
33.3%
1 13195
17.9%
2 6180
 
8.4%
3 5257
 
7.1%
4 1
 
< 0.1%

Violation Detail - 7
Text

MISSING 

Distinct500
Distinct (%)2.1%
Missing54093
Missing (%)69.0%
Memory size612.6 KiB
2024-02-21T21:12:54.706404image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length1018
Median length695
Mean length365.12593
Min length125

Characters and Unicode

Total characters8875116
Distinct characters75
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)0.4%

Sample

1st row228.43 Management and Personnel. Hair restraints. (a) Except as provided in subsection (b) of this section, food employees shall wear hair restraints such as hats, hair coverings or nets, beard restraints, and clothing that covers body hair, that are designed and worn to effectively keep their hair from contacting exposed food; clean equipment, utensils, and linens; and unwrapped single-service and single-use articles.
2nd row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
3rd row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
4th row228.118 Equipment, Utensils, and Linens. Sanitization Methods, Hot Water and Chemicals. After being cleaned, equipment food-contact surfaces and utensils shall be sanitized in: (1) hot water manual operations by immersion for at least 30 seconds and as specified in õ228.111(k) of this title;
5th row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (B) with sufficient water velocity to agitate and float off loose particles in an overflow; and
ValueCountFrequency (%)
and 66773
 
5.4%
food 51291
 
4.2%
of 41678
 
3.4%
the 39346
 
3.2%
a 33214
 
2.7%
shall 27453
 
2.2%
in 26637
 
2.2%
be 24543
 
2.0%
or 22589
 
1.8%
equipment 22581
 
1.8%
Other values (2301) 871926
71.0%
2024-02-21T21:12:55.121203image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1811884
20.4%
e 758104
 
8.5%
i 518444
 
5.8%
n 516079
 
5.8%
a 515135
 
5.8%
t 499720
 
5.6%
o 485273
 
5.5%
s 475534
 
5.4%
r 355333
 
4.0%
d 294719
 
3.3%
Other values (65) 2644891
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6234743
70.2%
Space Separator 1811884
 
20.4%
Other Punctuation 250498
 
2.8%
Decimal Number 211243
 
2.4%
Uppercase Letter 189389
 
2.1%
Close Punctuation 74531
 
0.8%
Open Punctuation 74049
 
0.8%
Dash Punctuation 28777
 
0.3%
Currency Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 758104
12.2%
i 518444
 
8.3%
n 516079
 
8.3%
a 515135
 
8.3%
t 499720
 
8.0%
o 485273
 
7.8%
s 475534
 
7.6%
r 355333
 
5.7%
d 294719
 
4.7%
l 268942
 
4.3%
Other values (17) 1547460
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 24974
13.2%
E 22212
11.7%
P 20634
10.9%
C 18215
9.6%
T 13405
 
7.1%
S 12081
 
6.4%
A 11870
 
6.3%
L 9950
 
5.3%
U 9320
 
4.9%
R 8933
 
4.7%
Other values (14) 37795
20.0%
Decimal Number
ValueCountFrequency (%)
2 73347
34.7%
1 44607
21.1%
8 31820
15.1%
7 11615
 
5.5%
6 10949
 
5.2%
5 10897
 
5.2%
4 10279
 
4.9%
3 9619
 
4.6%
0 5528
 
2.6%
9 2582
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 113776
45.4%
, 110655
44.2%
: 11555
 
4.6%
; 11156
 
4.5%
/ 2272
 
0.9%
' 565
 
0.2%
# 519
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 74530
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 74048
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1811884
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28777
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6424132
72.4%
Common 2450984
 
27.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 758104
11.8%
i 518444
 
8.1%
n 516079
 
8.0%
a 515135
 
8.0%
t 499720
 
7.8%
o 485273
 
7.6%
s 475534
 
7.4%
r 355333
 
5.5%
d 294719
 
4.6%
l 268942
 
4.2%
Other values (41) 1736849
27.0%
Common
ValueCountFrequency (%)
1811884
73.9%
. 113776
 
4.6%
, 110655
 
4.5%
) 74530
 
3.0%
( 74048
 
3.0%
2 73347
 
3.0%
1 44607
 
1.8%
8 31820
 
1.3%
- 28777
 
1.2%
7 11615
 
0.5%
Other values (14) 75925
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8870211
99.9%
None 4905
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1811884
20.4%
e 758104
 
8.5%
i 518444
 
5.8%
n 516079
 
5.8%
a 515135
 
5.8%
t 499720
 
5.6%
o 485273
 
5.5%
s 475534
 
5.4%
r 355333
 
4.0%
d 294719
 
3.3%
Other values (64) 2639986
29.8%
None
ValueCountFrequency (%)
õ 4905
100.0%

Violation Memo - 7
Text

MISSING 

Distinct15997
Distinct (%)81.5%
Missing58770
Missing (%)75.0%
Memory size612.6 KiB
2024-02-21T21:12:55.364452image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length1837
Median length556
Mean length49.23133
Min length2

Characters and Unicode

Total characters966411
Distinct characters99
Distinct categories15 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14948 ?
Unique (%)76.1%

Sample

1st rowPROVIDE FOR ALL EMPLOYEES
2nd rowDate mark salads.
3rd rowprovide a sign about inspection report
4th rowNo sanitizer prepared at time of inspection. Employees seemed confused as to what sanitizer was. Please make proper preparation of Chlorine (bleach) as part of opening procedures. Please follow manufacturer's directions. Sanitizing solution for bleach should be between 50ppm and 100ppm. Please use test strips to verify proper sanitizer concentration.
5th rowwings thawing at RT
ValueCountFrequency (%)
in 5392
 
3.3%
food 3631
 
2.2%
the 3576
 
2.2%
on 2891
 
1.8%
and 2879
 
1.8%
clean 2738
 
1.7%
of 2294
 
1.4%
all 2201
 
1.4%
to 2161
 
1.3%
provide 2116
 
1.3%
Other values (6097) 132023
81.5%
2024-02-21T21:12:55.785826image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152492
 
15.8%
e 67719
 
7.0%
o 50076
 
5.2%
a 42204
 
4.4%
n 41862
 
4.3%
i 40349
 
4.2%
t 39871
 
4.1%
r 39432
 
4.1%
s 38452
 
4.0%
E 28117
 
2.9%
Other values (89) 425837
44.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 549553
56.9%
Uppercase Letter 235083
24.3%
Space Separator 152492
 
15.8%
Other Punctuation 12509
 
1.3%
Decimal Number 9094
 
0.9%
Dash Punctuation 4771
 
0.5%
Close Punctuation 1323
 
0.1%
Open Punctuation 1291
 
0.1%
Other Symbol 148
 
< 0.1%
Math Symbol 65
 
< 0.1%
Other values (5) 82
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 67719
12.3%
o 50076
 
9.1%
a 42204
 
7.7%
n 41862
 
7.6%
i 40349
 
7.3%
t 39871
 
7.3%
r 39432
 
7.2%
s 38452
 
7.0%
l 25756
 
4.7%
d 25711
 
4.7%
Other values (20) 138121
25.1%
Uppercase Letter
ValueCountFrequency (%)
E 28117
12.0%
O 21267
 
9.0%
R 18436
 
7.8%
A 16844
 
7.2%
I 16706
 
7.1%
N 16553
 
7.0%
T 16033
 
6.8%
S 15165
 
6.5%
L 11845
 
5.0%
D 11188
 
4.8%
Other values (17) 62929
26.8%
Other Punctuation
ValueCountFrequency (%)
. 6211
49.7%
, 3315
26.5%
/ 1160
 
9.3%
' 425
 
3.4%
: 324
 
2.6%
* 284
 
2.3%
; 245
 
2.0%
" 224
 
1.8%
& 190
 
1.5%
@ 53
 
0.4%
Other values (4) 78
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 1655
18.2%
0 1399
15.4%
2 1021
11.2%
4 992
10.9%
3 860
9.5%
5 850
9.3%
7 737
8.1%
6 694
7.6%
8 472
 
5.2%
9 414
 
4.6%
Math Symbol
ValueCountFrequency (%)
> 31
47.7%
< 20
30.8%
+ 9
 
13.8%
~ 3
 
4.6%
= 2
 
3.1%
Close Punctuation
ValueCountFrequency (%)
) 1317
99.5%
] 6
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 1284
99.5%
[ 7
 
0.5%
Final Punctuation
ValueCountFrequency (%)
20
69.0%
9
31.0%
Space Separator
ValueCountFrequency (%)
152492
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4771
100.0%
Other Symbol
ValueCountFrequency (%)
° 148
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 22
100.0%
Initial Punctuation
ValueCountFrequency (%)
15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 784636
81.2%
Common 181775
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 67719
 
8.6%
o 50076
 
6.4%
a 42204
 
5.4%
n 41862
 
5.3%
i 40349
 
5.1%
t 39871
 
5.1%
r 39432
 
5.0%
s 38452
 
4.9%
E 28117
 
3.6%
l 25756
 
3.3%
Other values (47) 370798
47.3%
Common
ValueCountFrequency (%)
152492
83.9%
. 6211
 
3.4%
- 4771
 
2.6%
, 3315
 
1.8%
1 1655
 
0.9%
0 1399
 
0.8%
) 1317
 
0.7%
( 1284
 
0.7%
/ 1160
 
0.6%
2 1021
 
0.6%
Other values (32) 7150
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 966209
> 99.9%
None 158
 
< 0.1%
Punctuation 44
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152492
 
15.8%
e 67719
 
7.0%
o 50076
 
5.2%
a 42204
 
4.4%
n 41862
 
4.3%
i 40349
 
4.2%
t 39871
 
4.1%
r 39432
 
4.1%
s 38452
 
4.0%
E 28117
 
2.9%
Other values (80) 425635
44.1%
None
ValueCountFrequency (%)
° 148
93.7%
ó 3
 
1.9%
á 3
 
1.9%
í 2
 
1.3%
é 1
 
0.6%
Ó 1
 
0.6%
Punctuation
ValueCountFrequency (%)
20
45.5%
15
34.1%
9
20.5%
Distinct480
Distinct (%)2.5%
Missing59391
Missing (%)75.8%
Memory size612.6 KiB
2024-02-21T21:12:56.036919image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length89
Mean length45.935609
Min length12

Characters and Unicode

Total characters873190
Distinct characters81
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)0.6%

Sample

1st row*25 Controlling pests. The presence of insects, rodents, and other pests shall be controlled to elim
2nd row*30 Does Establishment have a current valid permit posted?
3rd row*30 Food Establishment Permit
4th row*45 Premises:Cleaning, frequency and restrictions
5th row*21 RFSM - Not On Site
ValueCountFrequency (%)
food 5357
 
3.9%
3529
 
2.6%
in 2365
 
1.7%
or 2282
 
1.7%
and 1813
 
1.3%
not 1703
 
1.2%
of 1660
 
1.2%
for 1634
 
1.2%
the 1576
 
1.1%
42 1485
 
1.1%
Other values (1060) 113927
83.0%
2024-02-21T21:12:56.455054image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120204
 
13.8%
e 69794
 
8.0%
o 64918
 
7.4%
n 53814
 
6.2%
i 53092
 
6.1%
t 51251
 
5.9%
s 45635
 
5.2%
a 43887
 
5.0%
r 40025
 
4.6%
d 29988
 
3.4%
Other values (71) 300582
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 627388
71.9%
Space Separator 120204
 
13.8%
Decimal Number 45428
 
5.2%
Uppercase Letter 38191
 
4.4%
Other Punctuation 33871
 
3.9%
Dash Punctuation 5648
 
0.6%
Open Punctuation 946
 
0.1%
Close Punctuation 939
 
0.1%
Math Symbol 575
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 69794
11.1%
o 64918
10.3%
n 53814
 
8.6%
i 53092
 
8.5%
t 51251
 
8.2%
s 45635
 
7.3%
a 43887
 
7.0%
r 40025
 
6.4%
d 29988
 
4.8%
l 25652
 
4.1%
Other values (18) 149332
23.8%
Uppercase Letter
ValueCountFrequency (%)
F 6034
15.8%
C 4787
12.5%
S 4035
10.6%
T 2520
 
6.6%
H 2388
 
6.3%
D 2230
 
5.8%
P 2199
 
5.8%
O 2051
 
5.4%
R 1834
 
4.8%
E 1760
 
4.6%
Other values (13) 8353
21.9%
Other Punctuation
ValueCountFrequency (%)
* 19008
56.1%
, 7485
 
22.1%
/ 3518
 
10.4%
. 1728
 
5.1%
: 950
 
2.8%
& 743
 
2.2%
' 289
 
0.9%
? 45
 
0.1%
" 45
 
0.1%
; 30
 
0.1%
Other values (2) 30
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 9422
20.7%
3 7559
16.6%
2 7140
15.7%
1 6475
14.3%
5 3425
 
7.5%
0 3270
 
7.2%
7 2612
 
5.7%
9 2255
 
5.0%
6 2042
 
4.5%
8 1228
 
2.7%
Math Symbol
ValueCountFrequency (%)
> 483
84.0%
< 60
 
10.4%
= 29
 
5.0%
+ 3
 
0.5%
Space Separator
ValueCountFrequency (%)
120204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5648
100.0%
Open Punctuation
ValueCountFrequency (%)
( 946
100.0%
Close Punctuation
ValueCountFrequency (%)
) 939
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 665579
76.2%
Common 207611
 
23.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 69794
 
10.5%
o 64918
 
9.8%
n 53814
 
8.1%
i 53092
 
8.0%
t 51251
 
7.7%
s 45635
 
6.9%
a 43887
 
6.6%
r 40025
 
6.0%
d 29988
 
4.5%
l 25652
 
3.9%
Other values (41) 187523
28.2%
Common
ValueCountFrequency (%)
120204
57.9%
* 19008
 
9.2%
4 9422
 
4.5%
3 7559
 
3.6%
, 7485
 
3.6%
2 7140
 
3.4%
1 6475
 
3.1%
- 5648
 
2.7%
/ 3518
 
1.7%
5 3425
 
1.6%
Other values (20) 17727
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 871984
99.9%
None 1206
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120204
13.8%
e 69794
 
8.0%
o 64918
 
7.4%
n 53814
 
6.2%
i 53092
 
6.1%
t 51251
 
5.9%
s 45635
 
5.2%
a 43887
 
5.0%
r 40025
 
4.6%
d 29988
 
3.4%
Other values (68) 299376
34.3%
None
ValueCountFrequency (%)
ø 1184
98.2%
õ 14
 
1.2%
§ 8
 
0.7%

Violation Points - 8
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing59391
Missing (%)75.8%
Memory size612.6 KiB
1.0
10336 
2.0
4643 
3.0
4030 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters57027
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 10336
 
13.2%
2.0 4643
 
5.9%
3.0 4030
 
5.1%
(Missing) 59391
75.8%

Length

2024-02-21T21:12:56.604111image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:12:56.710312image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 10336
54.4%
2.0 4643
24.4%
3.0 4030
 
21.2%

Most occurring characters

ValueCountFrequency (%)
. 19009
33.3%
0 19009
33.3%
1 10336
18.1%
2 4643
 
8.1%
3 4030
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38018
66.7%
Other Punctuation 19009
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19009
50.0%
1 10336
27.2%
2 4643
 
12.2%
3 4030
 
10.6%
Other Punctuation
ValueCountFrequency (%)
. 19009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 19009
33.3%
0 19009
33.3%
1 10336
18.1%
2 4643
 
8.1%
3 4030
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 19009
33.3%
0 19009
33.3%
1 10336
18.1%
2 4643
 
8.1%
3 4030
 
7.1%

Violation Detail - 8
Text

MISSING 

Distinct485
Distinct (%)2.6%
Missing59652
Missing (%)76.1%
Memory size612.6 KiB
2024-02-21T21:12:56.906247image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length1039
Median length701
Mean length364.79032
Min length125

Characters and Unicode

Total characters6839089
Distinct characters73
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)0.6%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to eliminate their presence on the premises by: (3) using methods, if pests are found, such as trapping devices or other means of pest control as specified in õ228.204(b) and õ228.208(b) and (c) of this title; and
2nd row228.247 COMPLIANCE Permit Requirement, Prerequisite for Operation A person may not operate a food establishment without a valid permit or license to operate issued by the regulatory authority.
3rd rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (1) Requisite. A person shall not operate a food establishment inside the city without a permit issued by the director. A separate permit is required for: (A) each establishment that is under a separate ownership;
4th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (b) Cleaning, frequency and restrictions.
5th rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
ValueCountFrequency (%)
and 51465
 
5.4%
food 39755
 
4.2%
of 32355
 
3.4%
the 29651
 
3.1%
a 25727
 
2.7%
shall 21070
 
2.2%
in 20844
 
2.2%
be 18964
 
2.0%
or 17213
 
1.8%
equipment 17172
 
1.8%
Other values (2302) 671860
71.0%
2024-02-21T21:12:57.287102image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1395661
20.4%
e 582854
 
8.5%
i 400947
 
5.9%
n 398301
 
5.8%
a 396900
 
5.8%
t 385003
 
5.6%
o 374265
 
5.5%
s 366892
 
5.4%
r 271730
 
4.0%
d 226170
 
3.3%
Other values (63) 2040366
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4802475
70.2%
Space Separator 1395661
 
20.4%
Other Punctuation 192826
 
2.8%
Decimal Number 164243
 
2.4%
Uppercase Letter 146582
 
2.1%
Close Punctuation 57928
 
0.8%
Open Punctuation 57601
 
0.8%
Dash Punctuation 21771
 
0.3%
Currency Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 582854
12.1%
i 400947
 
8.3%
n 398301
 
8.3%
a 396900
 
8.3%
t 385003
 
8.0%
o 374265
 
7.8%
s 366892
 
7.6%
r 271730
 
5.7%
d 226170
 
4.7%
l 208182
 
4.3%
Other values (17) 1191231
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 19368
13.2%
E 17023
11.6%
P 16093
11.0%
C 14032
9.6%
T 10165
 
6.9%
S 9311
 
6.4%
A 9246
 
6.3%
L 7568
 
5.2%
U 7168
 
4.9%
R 6999
 
4.8%
Other values (14) 29609
20.2%
Decimal Number
ValueCountFrequency (%)
2 56968
34.7%
1 34403
20.9%
8 24817
15.1%
7 9142
 
5.6%
5 8547
 
5.2%
6 8442
 
5.1%
4 7908
 
4.8%
3 7704
 
4.7%
0 4291
 
2.6%
9 2021
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 88077
45.7%
, 85009
44.1%
: 8852
 
4.6%
; 8395
 
4.4%
/ 1746
 
0.9%
' 411
 
0.2%
# 336
 
0.2%
Space Separator
ValueCountFrequency (%)
1395661
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57928
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57601
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21771
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4949057
72.4%
Common 1890032
 
27.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 582854
11.8%
i 400947
 
8.1%
n 398301
 
8.0%
a 396900
 
8.0%
t 385003
 
7.8%
o 374265
 
7.6%
s 366892
 
7.4%
r 271730
 
5.5%
d 226170
 
4.6%
l 208182
 
4.2%
Other values (41) 1337813
27.0%
Common
ValueCountFrequency (%)
1395661
73.8%
. 88077
 
4.7%
, 85009
 
4.5%
) 57928
 
3.1%
( 57601
 
3.0%
2 56968
 
3.0%
1 34403
 
1.8%
8 24817
 
1.3%
- 21771
 
1.2%
7 9142
 
0.5%
Other values (12) 58655
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6835117
99.9%
None 3972
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1395661
20.4%
e 582854
 
8.5%
i 400947
 
5.9%
n 398301
 
5.8%
a 396900
 
5.8%
t 385003
 
5.6%
o 374265
 
5.5%
s 366892
 
5.4%
r 271730
 
4.0%
d 226170
 
3.3%
Other values (62) 2036394
29.8%
None
ValueCountFrequency (%)
õ 3972
100.0%

Violation Memo - 8
Text

MISSING 

Distinct12435
Distinct (%)81.3%
Missing63100
Missing (%)80.5%
Memory size612.6 KiB
2024-02-21T21:12:57.569274image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length1516
Median length413
Mean length48.290523
Min length2

Characters and Unicode

Total characters738845
Distinct characters97
Distinct categories15 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11601 ?
Unique (%)75.8%

Sample

1st rowOBSERVED FLIES IN ESTABLISHMENT
2nd rowHave permit by next visit.
3rd rowLocation is operating without a valid permit. Establishment is past due on City of Dallas permit fees. Amounts due are aged as follows as of 3/24/2018: Location has fees due aged as follows. 1-30 Days $87.00 31-60 Days $111.00 61-90 Days $0.00 91-120 Days $280.00 121+ Days $0.00 Net due for permit $478.00 Last payment received 12/20/2016 Please contact our office to resolve this issue: Code Compliance Office: 7901 Goforth Road Dallas, TX 75238 (214) 670-8083
4th rowclean floors and clean prep area
5th rowRegister with city of Dallas -> Last warning will issue citation for repeat violation
ValueCountFrequency (%)
in 4131
 
3.3%
food 2826
 
2.3%
the 2640
 
2.1%
on 2252
 
1.8%
clean 2139
 
1.7%
and 2092
 
1.7%
of 1784
 
1.4%
all 1781
 
1.4%
provide 1718
 
1.4%
to 1583
 
1.3%
Other values (5370) 101258
81.5%
2024-02-21T21:12:58.043350image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114521
 
15.5%
e 51756
 
7.0%
o 38186
 
5.2%
a 31701
 
4.3%
n 31660
 
4.3%
i 30575
 
4.1%
r 29928
 
4.1%
t 29792
 
4.0%
s 29246
 
4.0%
E 22135
 
3.0%
Other values (87) 329345
44.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 416543
56.4%
Uppercase Letter 186332
25.2%
Space Separator 114521
 
15.5%
Other Punctuation 9589
 
1.3%
Decimal Number 7212
 
1.0%
Dash Punctuation 2443
 
0.3%
Close Punctuation 1034
 
0.1%
Open Punctuation 953
 
0.1%
Other Symbol 70
 
< 0.1%
Math Symbol 57
 
< 0.1%
Other values (5) 91
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 51756
12.4%
o 38186
 
9.2%
a 31701
 
7.6%
n 31660
 
7.6%
i 30575
 
7.3%
r 29928
 
7.2%
t 29792
 
7.2%
s 29246
 
7.0%
l 19789
 
4.8%
d 19529
 
4.7%
Other values (18) 104381
25.1%
Uppercase Letter
ValueCountFrequency (%)
E 22135
11.9%
O 16779
 
9.0%
R 14568
 
7.8%
A 13468
 
7.2%
I 13290
 
7.1%
N 13190
 
7.1%
T 12774
 
6.9%
S 11972
 
6.4%
L 9458
 
5.1%
D 8778
 
4.7%
Other values (17) 49920
26.8%
Other Punctuation
ValueCountFrequency (%)
. 4792
50.0%
, 2615
27.3%
/ 886
 
9.2%
' 289
 
3.0%
: 241
 
2.5%
* 232
 
2.4%
& 153
 
1.6%
; 148
 
1.5%
" 122
 
1.3%
@ 53
 
0.6%
Other values (5) 58
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 1279
17.7%
0 1090
15.1%
2 836
11.6%
4 790
11.0%
3 690
9.6%
5 685
9.5%
6 545
7.6%
7 539
7.5%
8 418
 
5.8%
9 340
 
4.7%
Math Symbol
ValueCountFrequency (%)
> 27
47.4%
< 20
35.1%
+ 9
 
15.8%
= 1
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 1028
99.4%
] 6
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 947
99.4%
[ 6
 
0.6%
Final Punctuation
ValueCountFrequency (%)
31
88.6%
4
 
11.4%
Space Separator
ValueCountFrequency (%)
114521
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2443
100.0%
Other Symbol
ValueCountFrequency (%)
° 70
100.0%
Initial Punctuation
ValueCountFrequency (%)
23
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Control
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 602875
81.6%
Common 135970
 
18.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 51756
 
8.6%
o 38186
 
6.3%
a 31701
 
5.3%
n 31660
 
5.3%
i 30575
 
5.1%
r 29928
 
5.0%
t 29792
 
4.9%
s 29246
 
4.9%
E 22135
 
3.7%
l 19789
 
3.3%
Other values (45) 288107
47.8%
Common
ValueCountFrequency (%)
114521
84.2%
. 4792
 
3.5%
, 2615
 
1.9%
- 2443
 
1.8%
1 1279
 
0.9%
0 1090
 
0.8%
) 1028
 
0.8%
( 947
 
0.7%
/ 886
 
0.7%
2 836
 
0.6%
Other values (32) 5533
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 738711
> 99.9%
None 76
 
< 0.1%
Punctuation 58
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114521
 
15.5%
e 51756
 
7.0%
o 38186
 
5.2%
a 31701
 
4.3%
n 31660
 
4.3%
i 30575
 
4.1%
r 29928
 
4.1%
t 29792
 
4.0%
s 29246
 
4.0%
E 22135
 
3.0%
Other values (80) 329211
44.6%
None
ValueCountFrequency (%)
° 70
92.1%
Ó 3
 
3.9%
é 2
 
2.6%
ó 1
 
1.3%
Punctuation
ValueCountFrequency (%)
31
53.4%
23
39.7%
4
 
6.9%
Distinct420
Distinct (%)3.0%
Missing64188
Missing (%)81.9%
Memory size612.6 KiB
2024-02-21T21:12:58.213033image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length84
Mean length45.98065
Min length12

Characters and Unicode

Total characters653477
Distinct characters81
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)0.6%

Sample

1st row*14 Wash hands after all other activities
2nd row*35 Eating food, chewing gum, drinking beverages, or using tobacco
3rd row*38 Thawing. under running water criteria - water velocity
4th row*32 Damaged Equipment
5th row*10 Clean Sight and Touch
ValueCountFrequency (%)
food 4041
 
3.9%
2548
 
2.5%
in 1803
 
1.8%
or 1793
 
1.7%
and 1335
 
1.3%
of 1224
 
1.2%
not 1201
 
1.2%
for 1166
 
1.1%
42 1125
 
1.1%
the 1114
 
1.1%
Other values (955) 85207
83.1%
2024-02-21T21:12:58.539964image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89812
13.7%
e 52447
 
8.0%
o 48670
 
7.4%
i 40158
 
6.1%
n 40121
 
6.1%
t 38248
 
5.9%
s 34007
 
5.2%
a 33014
 
5.1%
r 30192
 
4.6%
d 22356
 
3.4%
Other values (71) 224452
34.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 470571
72.0%
Space Separator 89812
 
13.7%
Decimal Number 33690
 
5.2%
Uppercase Letter 28338
 
4.3%
Other Punctuation 25225
 
3.9%
Dash Punctuation 4075
 
0.6%
Open Punctuation 707
 
0.1%
Close Punctuation 701
 
0.1%
Math Symbol 358
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 52447
11.1%
o 48670
10.3%
i 40158
 
8.5%
n 40121
 
8.5%
t 38248
 
8.1%
s 34007
 
7.2%
a 33014
 
7.0%
r 30192
 
6.4%
d 22356
 
4.8%
l 19604
 
4.2%
Other values (18) 111754
23.7%
Uppercase Letter
ValueCountFrequency (%)
F 4429
15.6%
C 3569
12.6%
S 2962
10.5%
T 1964
 
6.9%
H 1739
 
6.1%
P 1662
 
5.9%
D 1571
 
5.5%
O 1435
 
5.1%
R 1435
 
5.1%
E 1335
 
4.7%
Other values (13) 6237
22.0%
Other Punctuation
ValueCountFrequency (%)
* 14211
56.3%
, 5538
 
22.0%
/ 2705
 
10.7%
. 1242
 
4.9%
: 685
 
2.7%
& 548
 
2.2%
' 222
 
0.9%
? 22
 
0.1%
; 21
 
0.1%
" 18
 
0.1%
Other values (2) 13
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 7156
21.2%
3 5599
16.6%
2 5217
15.5%
1 4542
13.5%
5 2739
 
8.1%
0 2518
 
7.5%
7 1869
 
5.5%
9 1703
 
5.1%
6 1422
 
4.2%
8 925
 
2.7%
Math Symbol
ValueCountFrequency (%)
> 301
84.1%
< 37
 
10.3%
= 18
 
5.0%
+ 2
 
0.6%
Space Separator
ValueCountFrequency (%)
89812
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4075
100.0%
Open Punctuation
ValueCountFrequency (%)
( 707
100.0%
Close Punctuation
ValueCountFrequency (%)
) 701
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 498909
76.3%
Common 154568
 
23.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 52447
 
10.5%
o 48670
 
9.8%
i 40158
 
8.0%
n 40121
 
8.0%
t 38248
 
7.7%
s 34007
 
6.8%
a 33014
 
6.6%
r 30192
 
6.1%
d 22356
 
4.5%
l 19604
 
3.9%
Other values (41) 140092
28.1%
Common
ValueCountFrequency (%)
89812
58.1%
* 14211
 
9.2%
4 7156
 
4.6%
3 5599
 
3.6%
, 5538
 
3.6%
2 5217
 
3.4%
1 4542
 
2.9%
- 4075
 
2.6%
5 2739
 
1.8%
/ 2705
 
1.8%
Other values (20) 12974
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 652552
99.9%
None 925
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89812
13.8%
e 52447
 
8.0%
o 48670
 
7.5%
i 40158
 
6.2%
n 40121
 
6.1%
t 38248
 
5.9%
s 34007
 
5.2%
a 33014
 
5.1%
r 30192
 
4.6%
d 22356
 
3.4%
Other values (68) 223527
34.3%
None
ValueCountFrequency (%)
ø 909
98.3%
õ 12
 
1.3%
§ 4
 
0.4%

Violation Points - 9
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing64188
Missing (%)81.9%
Memory size612.6 KiB
1.0
7913 
2.0
3264 
3.0
3034 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters42636
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 7913
 
10.1%
2.0 3264
 
4.2%
3.0 3034
 
3.9%
4.0 1
 
< 0.1%
(Missing) 64188
81.9%

Length

2024-02-21T21:12:58.682004image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:12:58.789851image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 7913
55.7%
2.0 3264
23.0%
3.0 3034
 
21.3%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 14212
33.3%
0 14212
33.3%
1 7913
18.6%
2 3264
 
7.7%
3 3034
 
7.1%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28424
66.7%
Other Punctuation 14212
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14212
50.0%
1 7913
27.8%
2 3264
 
11.5%
3 3034
 
10.7%
4 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 14212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42636
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 14212
33.3%
0 14212
33.3%
1 7913
18.6%
2 3264
 
7.7%
3 3034
 
7.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42636
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 14212
33.3%
0 14212
33.3%
1 7913
18.6%
2 3264
 
7.7%
3 3034
 
7.1%
4 1
 
< 0.1%

Violation Detail - 9
Text

MISSING 

Distinct427
Distinct (%)3.1%
Missing64403
Missing (%)82.1%
Memory size612.6 KiB
2024-02-21T21:12:59.016386image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length910
Median length639
Mean length362.22248
Min length125

Characters and Unicode

Total characters5070028
Distinct characters72
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)0.7%

Sample

1st row228.38 Management and Personnel. Hands and Arms. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified under subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and:; (9) after engaging in other activities that contaminate the hands.
2nd row228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.
3rd row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (B) with sufficient water velocity to agitate and float off loose particles in an overflow; and
4th row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
ValueCountFrequency (%)
and 38767
 
5.5%
food 29110
 
4.2%
of 23864
 
3.4%
the 21516
 
3.1%
a 18545
 
2.7%
shall 15580
 
2.2%
in 15051
 
2.2%
be 13880
 
2.0%
equipment 13150
 
1.9%
or 12904
 
1.8%
Other values (2120) 497189
71.1%
2024-02-21T21:12:59.459713image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1033182
20.4%
e 432394
 
8.5%
i 298014
 
5.9%
n 296336
 
5.8%
a 293236
 
5.8%
t 283996
 
5.6%
o 276850
 
5.5%
s 274756
 
5.4%
r 202093
 
4.0%
d 166970
 
3.3%
Other values (62) 1512201
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3562001
70.3%
Space Separator 1033182
 
20.4%
Other Punctuation 144623
 
2.9%
Decimal Number 120140
 
2.4%
Uppercase Letter 108969
 
2.1%
Close Punctuation 42420
 
0.8%
Open Punctuation 42150
 
0.8%
Dash Punctuation 16543
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 432394
12.1%
i 298014
 
8.4%
n 296336
 
8.3%
a 293236
 
8.2%
t 283996
 
8.0%
o 276850
 
7.8%
s 274756
 
7.7%
r 202093
 
5.7%
d 166970
 
4.7%
l 154833
 
4.3%
Other values (17) 882523
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 14243
13.1%
E 12829
11.8%
P 12031
11.0%
C 10277
9.4%
T 7781
 
7.1%
S 6864
 
6.3%
A 6749
 
6.2%
L 5801
 
5.3%
U 5319
 
4.9%
R 5171
 
4.7%
Other values (14) 21904
20.1%
Decimal Number
ValueCountFrequency (%)
2 41818
34.8%
1 25031
20.8%
8 18309
15.2%
7 6507
 
5.4%
6 6270
 
5.2%
5 6097
 
5.1%
4 5838
 
4.9%
3 5661
 
4.7%
0 3138
 
2.6%
9 1471
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 65339
45.2%
, 64449
44.6%
: 6553
 
4.5%
; 6466
 
4.5%
/ 1267
 
0.9%
# 279
 
0.2%
' 270
 
0.2%
Space Separator
ValueCountFrequency (%)
1033182
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42420
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16543
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3670970
72.4%
Common 1399058
 
27.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 432394
11.8%
i 298014
 
8.1%
n 296336
 
8.1%
a 293236
 
8.0%
t 283996
 
7.7%
o 276850
 
7.5%
s 274756
 
7.5%
r 202093
 
5.5%
d 166970
 
4.5%
l 154833
 
4.2%
Other values (41) 991492
27.0%
Common
ValueCountFrequency (%)
1033182
73.8%
. 65339
 
4.7%
, 64449
 
4.6%
) 42420
 
3.0%
( 42150
 
3.0%
2 41818
 
3.0%
1 25031
 
1.8%
8 18309
 
1.3%
- 16543
 
1.2%
: 6553
 
0.5%
Other values (11) 43264
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5067317
99.9%
None 2711
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1033182
20.4%
e 432394
 
8.5%
i 298014
 
5.9%
n 296336
 
5.8%
a 293236
 
5.8%
t 283996
 
5.6%
o 276850
 
5.5%
s 274756
 
5.4%
r 202093
 
4.0%
d 166970
 
3.3%
Other values (61) 1509490
29.8%
None
ValueCountFrequency (%)
õ 2711
100.0%

Violation Memo - 9
Text

MISSING 

Distinct9514
Distinct (%)81.9%
Missing66780
Missing (%)85.2%
Memory size612.6 KiB
2024-02-21T21:12:59.711261image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length1584
Median length568
Mean length49.360327
Min length3

Characters and Unicode

Total characters573567
Distinct characters95
Distinct categories15 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8876 ?
Unique (%)76.4%

Sample

1st rowLACK OF HAND WASHING
2nd rowPersonal drink need to separated in bin if you store with food.
3rd rowRaw chicken observed in sink without being submerged under running water.
4th rowBROKEN REACH IN COOLER DOOR GASKETS
5th rowDIRTY ICE SCOOP HANDLE
ValueCountFrequency (%)
in 3099
 
3.2%
food 2260
 
2.4%
the 1903
 
2.0%
clean 1706
 
1.8%
and 1699
 
1.8%
on 1671
 
1.8%
all 1413
 
1.5%
provide 1334
 
1.4%
of 1330
 
1.4%
to 1269
 
1.3%
Other values (4733) 77683
81.5%
2024-02-21T21:13:00.148320image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88831
 
15.5%
e 39964
 
7.0%
o 29807
 
5.2%
a 24769
 
4.3%
n 24345
 
4.2%
r 23613
 
4.1%
i 23549
 
4.1%
t 23234
 
4.1%
s 22711
 
4.0%
E 16580
 
2.9%
Other values (85) 256164
44.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 323719
56.4%
Uppercase Letter 141095
24.6%
Space Separator 88831
 
15.5%
Other Punctuation 7838
 
1.4%
Decimal Number 5709
 
1.0%
Dash Punctuation 4807
 
0.8%
Close Punctuation 724
 
0.1%
Open Punctuation 686
 
0.1%
Other Symbol 75
 
< 0.1%
Math Symbol 34
 
< 0.1%
Other values (5) 49
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 39964
12.3%
o 29807
 
9.2%
a 24769
 
7.7%
n 24345
 
7.5%
r 23613
 
7.3%
i 23549
 
7.3%
t 23234
 
7.2%
s 22711
 
7.0%
l 15414
 
4.8%
d 15359
 
4.7%
Other values (17) 80954
25.0%
Uppercase Letter
ValueCountFrequency (%)
E 16580
11.8%
O 12800
 
9.1%
R 10955
 
7.8%
A 10204
 
7.2%
N 10032
 
7.1%
I 9994
 
7.1%
T 9684
 
6.9%
S 9042
 
6.4%
L 7327
 
5.2%
D 6742
 
4.8%
Other values (16) 37735
26.7%
Other Punctuation
ValueCountFrequency (%)
. 3785
48.3%
, 2282
29.1%
/ 679
 
8.7%
' 287
 
3.7%
: 229
 
2.9%
* 174
 
2.2%
& 141
 
1.8%
; 90
 
1.1%
" 86
 
1.1%
@ 31
 
0.4%
Other values (4) 54
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 989
17.3%
0 858
15.0%
4 666
11.7%
2 598
10.5%
5 591
10.4%
3 525
9.2%
7 475
8.3%
6 414
7.3%
8 336
 
5.9%
9 257
 
4.5%
Math Symbol
ValueCountFrequency (%)
> 14
41.2%
+ 8
23.5%
< 6
17.6%
= 5
 
14.7%
~ 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 721
99.6%
] 3
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 683
99.6%
[ 3
 
0.4%
Final Punctuation
ValueCountFrequency (%)
8
80.0%
2
 
20.0%
Space Separator
ValueCountFrequency (%)
88831
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4807
100.0%
Other Symbol
ValueCountFrequency (%)
° 75
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 24
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Initial Punctuation
ValueCountFrequency (%)
6
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 464814
81.0%
Common 108753
 
19.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 39964
 
8.6%
o 29807
 
6.4%
a 24769
 
5.3%
n 24345
 
5.2%
r 23613
 
5.1%
i 23549
 
5.1%
t 23234
 
5.0%
s 22711
 
4.9%
E 16580
 
3.6%
l 15414
 
3.3%
Other values (43) 220828
47.5%
Common
ValueCountFrequency (%)
88831
81.7%
- 4807
 
4.4%
. 3785
 
3.5%
, 2282
 
2.1%
1 989
 
0.9%
0 858
 
0.8%
) 721
 
0.7%
( 683
 
0.6%
/ 679
 
0.6%
4 666
 
0.6%
Other values (32) 4452
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 573472
> 99.9%
None 79
 
< 0.1%
Punctuation 16
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88831
 
15.5%
e 39964
 
7.0%
o 29807
 
5.2%
a 24769
 
4.3%
n 24345
 
4.2%
r 23613
 
4.1%
i 23549
 
4.1%
t 23234
 
4.1%
s 22711
 
4.0%
E 16580
 
2.9%
Other values (80) 256069
44.7%
None
ValueCountFrequency (%)
° 75
94.9%
ó 4
 
5.1%
Punctuation
ValueCountFrequency (%)
8
50.0%
6
37.5%
2
 
12.5%
Distinct410
Distinct (%)4.0%
Missing68233
Missing (%)87.0%
Memory size612.6 KiB
2024-02-21T21:13:00.318719image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length84
Mean length46.208321
Min length12

Characters and Unicode

Total characters469800
Distinct characters82
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)1.0%

Sample

1st row*02 Cold Hold (41øF/45øF or below)
2nd row*39 Air-drying required after cleaning & sanitiziing
3rd row*09 Food protected cross contamination arrange each type food in equipment so cross is prevented
4th row*47 RFSM Certificate - Not Display
5th row*30 Food Establishment Permit
ValueCountFrequency (%)
food 2906
 
3.9%
1785
 
2.4%
in 1310
 
1.8%
or 1212
 
1.6%
and 934
 
1.3%
of 917
 
1.2%
for 869
 
1.2%
not 842
 
1.1%
equipment 768
 
1.0%
47 759
 
1.0%
Other values (945) 61456
83.3%
2024-02-21T21:13:00.650441image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64689
13.8%
e 38114
 
8.1%
o 34532
 
7.4%
n 28957
 
6.2%
i 28940
 
6.2%
t 27436
 
5.8%
s 24769
 
5.3%
a 23711
 
5.0%
r 21642
 
4.6%
d 16055
 
3.4%
Other values (72) 160955
34.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 338467
72.0%
Space Separator 64689
 
13.8%
Decimal Number 24039
 
5.1%
Uppercase Letter 20254
 
4.3%
Other Punctuation 18169
 
3.9%
Dash Punctuation 2951
 
0.6%
Open Punctuation 467
 
0.1%
Close Punctuation 467
 
0.1%
Math Symbol 297
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 38114
11.3%
o 34532
10.2%
n 28957
 
8.6%
i 28940
 
8.6%
t 27436
 
8.1%
s 24769
 
7.3%
a 23711
 
7.0%
r 21642
 
6.4%
d 16055
 
4.7%
l 13789
 
4.1%
Other values (18) 80522
23.8%
Uppercase Letter
ValueCountFrequency (%)
F 3092
15.3%
C 2532
12.5%
S 2080
10.3%
T 1392
 
6.9%
H 1205
 
5.9%
P 1187
 
5.9%
D 1185
 
5.9%
O 1074
 
5.3%
E 987
 
4.9%
R 961
 
4.7%
Other values (14) 4559
22.5%
Other Punctuation
ValueCountFrequency (%)
* 10167
56.0%
, 4045
 
22.3%
/ 1875
 
10.3%
. 974
 
5.4%
: 481
 
2.6%
& 365
 
2.0%
' 185
 
1.0%
? 27
 
0.1%
" 20
 
0.1%
; 12
 
0.1%
Other values (2) 18
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 5171
21.5%
3 3912
16.3%
2 3641
15.1%
1 3234
13.5%
5 1925
 
8.0%
0 1803
 
7.5%
7 1378
 
5.7%
9 1232
 
5.1%
6 1117
 
4.6%
8 626
 
2.6%
Math Symbol
ValueCountFrequency (%)
> 232
78.1%
< 46
 
15.5%
= 14
 
4.7%
+ 5
 
1.7%
Space Separator
ValueCountFrequency (%)
64689
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2951
100.0%
Open Punctuation
ValueCountFrequency (%)
( 467
100.0%
Close Punctuation
ValueCountFrequency (%)
) 467
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 358721
76.4%
Common 111079
 
23.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 38114
 
10.6%
o 34532
 
9.6%
n 28957
 
8.1%
i 28940
 
8.1%
t 27436
 
7.6%
s 24769
 
6.9%
a 23711
 
6.6%
r 21642
 
6.0%
d 16055
 
4.5%
l 13789
 
3.8%
Other values (42) 100776
28.1%
Common
ValueCountFrequency (%)
64689
58.2%
* 10167
 
9.2%
4 5171
 
4.7%
, 4045
 
3.6%
3 3912
 
3.5%
2 3641
 
3.3%
1 3234
 
2.9%
- 2951
 
2.7%
5 1925
 
1.7%
/ 1875
 
1.7%
Other values (20) 9469
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 469189
99.9%
None 611
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64689
13.8%
e 38114
 
8.1%
o 34532
 
7.4%
n 28957
 
6.2%
i 28940
 
6.2%
t 27436
 
5.8%
s 24769
 
5.3%
a 23711
 
5.1%
r 21642
 
4.6%
d 16055
 
3.4%
Other values (69) 160344
34.2%
None
ValueCountFrequency (%)
ø 596
97.5%
õ 9
 
1.5%
§ 6
 
1.0%

Violation Points - 10
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing68233
Missing (%)87.0%
Memory size612.6 KiB
1.0
5672 
2.0
2334 
3.0
2161 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters30501
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row3.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 5672
 
7.2%
2.0 2334
 
3.0%
3.0 2161
 
2.8%
(Missing) 68233
87.0%

Length

2024-02-21T21:13:00.788939image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:00.886410image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 5672
55.8%
2.0 2334
23.0%
3.0 2161
 
21.3%

Most occurring characters

ValueCountFrequency (%)
. 10167
33.3%
0 10167
33.3%
1 5672
18.6%
2 2334
 
7.7%
3 2161
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20334
66.7%
Other Punctuation 10167
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10167
50.0%
1 5672
27.9%
2 2334
 
11.5%
3 2161
 
10.6%
Other Punctuation
ValueCountFrequency (%)
. 10167
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30501
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 10167
33.3%
0 10167
33.3%
1 5672
18.6%
2 2334
 
7.7%
3 2161
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30501
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 10167
33.3%
0 10167
33.3%
1 5672
18.6%
2 2334
 
7.7%
3 2161
 
7.1%

Violation Detail - 10
Text

MISSING 

Distinct416
Distinct (%)4.2%
Missing68392
Missing (%)87.2%
Memory size612.6 KiB
2024-02-21T21:13:01.111677image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length910
Median length675
Mean length363.68575
Min length125

Characters and Unicode

Total characters3639767
Distinct characters73
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)1.0%

Sample

1st row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
2nd row228.122 Equipment, Utensils, and Linens. Drying, Equipment and Utensils. (a) Equipment and utensils, air-drying required. After cleaning and sanitizing, equipment and utensils: (1) shall be air-dried or used after adequate draining as specified in the first paragraph of 40 CFR õ180.940, Tolerance exemptions for active and inert ingredients for use in antimicrobial formulations (food-contact sanitizing solutions), before contact with food; and
3rd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; and
4th rowSec.17-2.2(c) Registered food service managers. (7) Display of certificate of registered food service manager. A food service establishment shall display the original certificate of each primary registered food service manager employed by the establishment. Each certificate must be displayed in a glass-covered frame at a location where it is easily visible to the public.
5th rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (1) Requisite. A person shall not operate a food establishment inside the city without a permit issued by the director. A separate permit is required for: (A) each establishment that is under a separate ownership;
ValueCountFrequency (%)
and 27863
 
5.5%
food 21065
 
4.2%
of 16957
 
3.4%
the 15425
 
3.1%
a 13581
 
2.7%
shall 11208
 
2.2%
in 10929
 
2.2%
be 9972
 
2.0%
equipment 9257
 
1.8%
or 9188
 
1.8%
Other values (2096) 357543
71.1%
2024-02-21T21:13:01.557577image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
742376
20.4%
e 310215
 
8.5%
i 214337
 
5.9%
n 212742
 
5.8%
a 211999
 
5.8%
t 204223
 
5.6%
o 198872
 
5.5%
s 195999
 
5.4%
r 144934
 
4.0%
d 120312
 
3.3%
Other values (63) 1083758
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2559112
70.3%
Space Separator 742376
 
20.4%
Other Punctuation 103343
 
2.8%
Decimal Number 85871
 
2.4%
Uppercase Letter 77556
 
2.1%
Close Punctuation 30050
 
0.8%
Open Punctuation 29863
 
0.8%
Dash Punctuation 11596
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 310215
12.1%
i 214337
 
8.4%
n 212742
 
8.3%
a 211999
 
8.3%
t 204223
 
8.0%
o 198872
 
7.8%
s 195999
 
7.7%
r 144934
 
5.7%
d 120312
 
4.7%
l 111052
 
4.3%
Other values (17) 634427
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 10329
13.3%
E 9072
11.7%
P 8655
11.2%
C 7291
9.4%
T 5385
 
6.9%
S 4869
 
6.3%
A 4857
 
6.3%
L 4076
 
5.3%
U 3728
 
4.8%
R 3723
 
4.8%
Other values (14) 15571
20.1%
Decimal Number
ValueCountFrequency (%)
2 29804
34.7%
1 17952
20.9%
8 13213
15.4%
7 4647
 
5.4%
6 4506
 
5.2%
5 4378
 
5.1%
4 4118
 
4.8%
3 4012
 
4.7%
0 2175
 
2.5%
9 1066
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 46677
45.2%
, 46040
44.6%
: 4793
 
4.6%
; 4555
 
4.4%
/ 855
 
0.8%
' 223
 
0.2%
# 198
 
0.2%
" 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
742376
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30050
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29863
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11596
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2636668
72.4%
Common 1003099
 
27.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 310215
11.8%
i 214337
 
8.1%
n 212742
 
8.1%
a 211999
 
8.0%
t 204223
 
7.7%
o 198872
 
7.5%
s 195999
 
7.4%
r 144934
 
5.5%
d 120312
 
4.6%
l 111052
 
4.2%
Other values (41) 711983
27.0%
Common
ValueCountFrequency (%)
742376
74.0%
. 46677
 
4.7%
, 46040
 
4.6%
) 30050
 
3.0%
( 29863
 
3.0%
2 29804
 
3.0%
1 17952
 
1.8%
8 13213
 
1.3%
- 11596
 
1.2%
: 4793
 
0.5%
Other values (12) 30735
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3637801
99.9%
None 1966
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
742376
20.4%
e 310215
 
8.5%
i 214337
 
5.9%
n 212742
 
5.8%
a 211999
 
5.8%
t 204223
 
5.6%
o 198872
 
5.5%
s 195999
 
5.4%
r 144934
 
4.0%
d 120312
 
3.3%
Other values (62) 1081792
29.7%
None
ValueCountFrequency (%)
õ 1966
100.0%

Violation Memo - 10
Text

MISSING 

Distinct6999
Distinct (%)82.3%
Missing69891
Missing (%)89.1%
Memory size612.6 KiB
2024-02-21T21:13:01.844780image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length2087
Median length344
Mean length48.788694
Min length3

Characters and Unicode

Total characters415143
Distinct characters95
Distinct categories15 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6577 ?
Unique (%)77.3%

Sample

1st rowCHEESE 61.5*F(DOUBLE PAN), BLUE CHEESE 48.9*F, RAW BEEF 45*F IN CHU
2nd rowAir dry utensils.
3rd rowRaw shell eggs stored on top of container of cooked penne pasta and adjacent to ready to eat romaine lettuce.
4th rowRegister Servsafe Manager certificate with COD.
5th rowpermit missing on site must be have valid permit display
ValueCountFrequency (%)
in 2290
 
3.3%
food 1596
 
2.3%
the 1279
 
1.8%
and 1271
 
1.8%
on 1242
 
1.8%
clean 1158
 
1.7%
provide 1099
 
1.6%
all 1029
 
1.5%
of 928
 
1.3%
to 916
 
1.3%
Other values (3934) 56505
81.5%
2024-02-21T21:13:02.297758image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66147
 
15.9%
e 28392
 
6.8%
o 21400
 
5.2%
a 17854
 
4.3%
n 17817
 
4.3%
i 17183
 
4.1%
r 16717
 
4.0%
t 16626
 
4.0%
s 16507
 
4.0%
E 12191
 
2.9%
Other values (85) 184309
44.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 232879
56.1%
Uppercase Letter 104087
25.1%
Space Separator 66147
 
15.9%
Other Punctuation 5667
 
1.4%
Decimal Number 4142
 
1.0%
Dash Punctuation 1025
 
0.2%
Close Punctuation 542
 
0.1%
Open Punctuation 521
 
0.1%
Other Symbol 52
 
< 0.1%
Math Symbol 30
 
< 0.1%
Other values (5) 51
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 12191
11.7%
O 9476
 
9.1%
R 8122
 
7.8%
A 7554
 
7.3%
I 7389
 
7.1%
N 7349
 
7.1%
T 7029
 
6.8%
S 6801
 
6.5%
L 5405
 
5.2%
D 5107
 
4.9%
Other values (17) 27664
26.6%
Lowercase Letter
ValueCountFrequency (%)
e 28392
12.2%
o 21400
 
9.2%
a 17854
 
7.7%
n 17817
 
7.7%
i 17183
 
7.4%
r 16717
 
7.2%
t 16626
 
7.1%
s 16507
 
7.1%
d 10970
 
4.7%
l 10953
 
4.7%
Other values (16) 58460
25.1%
Other Punctuation
ValueCountFrequency (%)
. 2690
47.5%
, 1596
28.2%
/ 482
 
8.5%
' 213
 
3.8%
: 168
 
3.0%
* 167
 
2.9%
; 111
 
2.0%
& 95
 
1.7%
" 72
 
1.3%
! 32
 
0.6%
Other values (4) 41
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 701
16.9%
0 689
16.6%
2 449
10.8%
4 424
10.2%
5 419
10.1%
3 397
9.6%
6 335
8.1%
7 331
8.0%
8 212
 
5.1%
9 185
 
4.5%
Math Symbol
ValueCountFrequency (%)
> 10
33.3%
+ 8
26.7%
< 7
23.3%
= 4
 
13.3%
~ 1
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 538
99.3%
] 4
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 517
99.2%
[ 4
 
0.8%
Final Punctuation
ValueCountFrequency (%)
14
73.7%
5
 
26.3%
Space Separator
ValueCountFrequency (%)
66147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1025
100.0%
Other Symbol
ValueCountFrequency (%)
° 52
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 13
100.0%
Initial Punctuation
ValueCountFrequency (%)
11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 336966
81.2%
Common 78177
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 28392
 
8.4%
o 21400
 
6.4%
a 17854
 
5.3%
n 17817
 
5.3%
i 17183
 
5.1%
r 16717
 
5.0%
t 16626
 
4.9%
s 16507
 
4.9%
E 12191
 
3.6%
d 10970
 
3.3%
Other values (43) 161309
47.9%
Common
ValueCountFrequency (%)
66147
84.6%
. 2690
 
3.4%
, 1596
 
2.0%
- 1025
 
1.3%
1 701
 
0.9%
0 689
 
0.9%
) 538
 
0.7%
( 517
 
0.7%
/ 482
 
0.6%
2 449
 
0.6%
Other values (32) 3343
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 415060
> 99.9%
None 53
 
< 0.1%
Punctuation 30
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66147
 
15.9%
e 28392
 
6.8%
o 21400
 
5.2%
a 17854
 
4.3%
n 17817
 
4.3%
i 17183
 
4.1%
r 16717
 
4.0%
t 16626
 
4.0%
s 16507
 
4.0%
E 12191
 
2.9%
Other values (80) 184226
44.4%
None
ValueCountFrequency (%)
° 52
98.1%
Ú 1
 
1.9%
Punctuation
ValueCountFrequency (%)
14
46.7%
11
36.7%
5
 
16.7%
Distinct377
Distinct (%)5.5%
Missing71595
Missing (%)91.3%
Memory size612.6 KiB
2024-02-21T21:13:02.474137image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length83
Mean length46.35518
Min length12

Characters and Unicode

Total characters315447
Distinct characters79
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)1.6%

Sample

1st row*43 Light 20 foot : Reach-in cooler
2nd row*40 Reuse of single service articles
3rd row*21 RFSM - Not On Site
4th row*47 RFSM Certificate - Not Display
5th row*47 Conditions of Permit-in use of food equipment
ValueCountFrequency (%)
food 2091
 
4.2%
1178
 
2.4%
in 877
 
1.8%
or 827
 
1.7%
of 725
 
1.5%
the 582
 
1.2%
and 581
 
1.2%
for 580
 
1.2%
not 547
 
1.1%
47 536
 
1.1%
Other values (880) 41072
82.8%
2024-02-21T21:13:02.799721image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43505
13.8%
e 25583
 
8.1%
o 23709
 
7.5%
n 19507
 
6.2%
i 19270
 
6.1%
t 18297
 
5.8%
s 16463
 
5.2%
a 15863
 
5.0%
r 14705
 
4.7%
d 10955
 
3.5%
Other values (69) 107590
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 227635
72.2%
Space Separator 43505
 
13.8%
Decimal Number 16214
 
5.1%
Uppercase Letter 13189
 
4.2%
Other Punctuation 12129
 
3.8%
Dash Punctuation 1933
 
0.6%
Open Punctuation 333
 
0.1%
Close Punctuation 331
 
0.1%
Math Symbol 178
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 25583
11.2%
o 23709
10.4%
n 19507
 
8.6%
i 19270
 
8.5%
t 18297
 
8.0%
s 16463
 
7.2%
a 15863
 
7.0%
r 14705
 
6.5%
d 10955
 
4.8%
l 9040
 
4.0%
Other values (18) 54243
23.8%
Uppercase Letter
ValueCountFrequency (%)
F 2173
16.5%
C 1713
13.0%
S 1301
9.9%
H 841
 
6.4%
P 819
 
6.2%
T 811
 
6.1%
D 769
 
5.8%
O 668
 
5.1%
E 658
 
5.0%
R 657
 
5.0%
Other values (13) 2779
21.1%
Other Punctuation
ValueCountFrequency (%)
* 6801
56.1%
, 2678
 
22.1%
/ 1254
 
10.3%
. 646
 
5.3%
: 310
 
2.6%
& 275
 
2.3%
' 129
 
1.1%
? 15
 
0.1%
; 12
 
0.1%
" 6
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
4 3534
21.8%
3 2658
16.4%
2 2364
14.6%
1 2110
13.0%
5 1356
 
8.4%
0 1151
 
7.1%
7 1030
 
6.4%
9 804
 
5.0%
6 785
 
4.8%
8 422
 
2.6%
Math Symbol
ValueCountFrequency (%)
> 145
81.5%
< 17
 
9.6%
= 16
 
9.0%
Space Separator
ValueCountFrequency (%)
43505
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1933
100.0%
Open Punctuation
ValueCountFrequency (%)
( 333
100.0%
Close Punctuation
ValueCountFrequency (%)
) 331
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 240824
76.3%
Common 74623
 
23.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 25583
 
10.6%
o 23709
 
9.8%
n 19507
 
8.1%
i 19270
 
8.0%
t 18297
 
7.6%
s 16463
 
6.8%
a 15863
 
6.6%
r 14705
 
6.1%
d 10955
 
4.5%
l 9040
 
3.8%
Other values (41) 67432
28.0%
Common
ValueCountFrequency (%)
43505
58.3%
* 6801
 
9.1%
4 3534
 
4.7%
, 2678
 
3.6%
3 2658
 
3.6%
2 2364
 
3.2%
1 2110
 
2.8%
- 1933
 
2.6%
5 1356
 
1.8%
/ 1254
 
1.7%
Other values (18) 6430
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 315018
99.9%
None 429
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43505
13.8%
e 25583
 
8.1%
o 23709
 
7.5%
n 19507
 
6.2%
i 19270
 
6.1%
t 18297
 
5.8%
s 16463
 
5.2%
a 15863
 
5.0%
r 14705
 
4.7%
d 10955
 
3.5%
Other values (67) 107161
34.0%
None
ValueCountFrequency (%)
ø 428
99.8%
õ 1
 
0.2%

Violation Points - 11
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing71595
Missing (%)91.3%
Memory size612.6 KiB
1.0
3925 
2.0
1518 
3.0
1362 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters20415
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3925
 
5.0%
2.0 1518
 
1.9%
3.0 1362
 
1.7%
(Missing) 71595
91.3%

Length

2024-02-21T21:13:02.940863image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:03.044428image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3925
57.7%
2.0 1518
 
22.3%
3.0 1362
 
20.0%

Most occurring characters

ValueCountFrequency (%)
. 6805
33.3%
0 6805
33.3%
1 3925
19.2%
2 1518
 
7.4%
3 1362
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13610
66.7%
Other Punctuation 6805
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6805
50.0%
1 3925
28.8%
2 1518
 
11.2%
3 1362
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 6805
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20415
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 6805
33.3%
0 6805
33.3%
1 3925
19.2%
2 1518
 
7.4%
3 1362
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20415
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6805
33.3%
0 6805
33.3%
1 3925
19.2%
2 1518
 
7.4%
3 1362
 
6.7%

Violation Detail - 11
Text

MISSING 

Distinct383
Distinct (%)5.7%
Missing71694
Missing (%)91.4%
Memory size612.6 KiB
2024-02-21T21:13:03.286589image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length910
Median length675
Mean length363.96347
Min length125

Characters and Unicode

Total characters2440739
Distinct characters75
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)1.6%

Sample

1st row228.177 Physical Facilities. Lighting, intensity. The light intensity shall be: (2) at least 215 lux (20 foot candles): (B) inside equipment such as reach-in and under-counter refrigerators; or
2nd row228.112 Equipment, Utensils, and Linens. Utensils and Temperature and Pressure Measuring Devices. (c) Single-service and single-use articles use limitation. (1) Single-service and single-use articles may not be reused.
3rd rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
4th rowSec.17-2.2(c) Registered food service managers. (7) Display of certificate of registered food service manager. A food service establishment shall display the original certificate of each primary registered food service manager employed by the establishment. Each certificate must be displayed in a glass-covered frame at a location where it is easily visible to the public.
5th row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
ValueCountFrequency (%)
and 18462
 
5.5%
food 14527
 
4.3%
of 11460
 
3.4%
the 10484
 
3.1%
a 9078
 
2.7%
shall 7494
 
2.2%
in 7274
 
2.2%
be 6785
 
2.0%
or 6176
 
1.8%
equipment 5984
 
1.8%
Other values (2046) 239884
71.1%
2024-02-21T21:13:03.740037image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
500280
20.5%
e 208152
 
8.5%
i 142874
 
5.9%
a 141898
 
5.8%
n 141398
 
5.8%
t 136604
 
5.6%
o 134416
 
5.5%
s 130710
 
5.4%
r 97407
 
4.0%
d 81027
 
3.3%
Other values (65) 725973
29.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1712975
70.2%
Space Separator 500280
 
20.5%
Other Punctuation 69316
 
2.8%
Decimal Number 57799
 
2.4%
Uppercase Letter 52440
 
2.1%
Close Punctuation 20231
 
0.8%
Open Punctuation 20135
 
0.8%
Dash Punctuation 7559
 
0.3%
Currency Symbol 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 208152
12.2%
i 142874
 
8.3%
a 141898
 
8.3%
n 141398
 
8.3%
t 136604
 
8.0%
o 134416
 
7.8%
s 130710
 
7.6%
r 97407
 
5.7%
d 81027
 
4.7%
l 73978
 
4.3%
Other values (17) 424511
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 7039
13.4%
E 5978
11.4%
P 5908
11.3%
C 4891
9.3%
T 3746
 
7.1%
S 3348
 
6.4%
A 3251
 
6.2%
L 2644
 
5.0%
R 2600
 
5.0%
U 2476
 
4.7%
Other values (14) 10559
20.1%
Decimal Number
ValueCountFrequency (%)
2 20183
34.9%
1 11874
20.5%
8 8881
15.4%
7 3177
 
5.5%
6 3165
 
5.5%
5 3095
 
5.4%
4 2743
 
4.7%
3 2627
 
4.5%
0 1399
 
2.4%
9 655
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 31429
45.3%
, 30796
44.4%
: 3238
 
4.7%
; 3022
 
4.4%
/ 596
 
0.9%
' 135
 
0.2%
# 100
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 20228
> 99.9%
] 3
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 20132
> 99.9%
[ 3
 
< 0.1%
Space Separator
ValueCountFrequency (%)
500280
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7559
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1765415
72.3%
Common 675324
 
27.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 208152
11.8%
i 142874
 
8.1%
a 141898
 
8.0%
n 141398
 
8.0%
t 136604
 
7.7%
o 134416
 
7.6%
s 130710
 
7.4%
r 97407
 
5.5%
d 81027
 
4.6%
l 73978
 
4.2%
Other values (41) 476951
27.0%
Common
ValueCountFrequency (%)
500280
74.1%
. 31429
 
4.7%
, 30796
 
4.6%
) 20228
 
3.0%
2 20183
 
3.0%
( 20132
 
3.0%
1 11874
 
1.8%
8 8881
 
1.3%
- 7559
 
1.1%
: 3238
 
0.5%
Other values (14) 20724
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2439400
99.9%
None 1339
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
500280
20.5%
e 208152
 
8.5%
i 142874
 
5.9%
a 141898
 
5.8%
n 141398
 
5.8%
t 136604
 
5.6%
o 134416
 
5.5%
s 130710
 
5.4%
r 97407
 
4.0%
d 81027
 
3.3%
Other values (64) 724634
29.7%
None
ValueCountFrequency (%)
õ 1339
100.0%

Violation Memo - 11
Text

MISSING 

Distinct4777
Distinct (%)83.8%
Missing72698
Missing (%)92.7%
Memory size612.6 KiB
2024-02-21T21:13:04.025648image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length1325
Median length272
Mean length48.143634
Min length3

Characters and Unicode

Total characters274515
Distinct characters94
Distinct categories14 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4476 ?
Unique (%)78.5%

Sample

1st rowREPAIR ALL
2nd rowDo not reuse bowl as scoop. Use scoop that is handled.
3rd rowNo Staff able to provide evidence of Registered Food Service Manager training. Individual who has RFSM certificate on display not present at time of inspection. Registered Food Service Manager certified through the City of Dallas must be present at all times food is prepared and served. This blue certificate may be obtained from our Goforth Office: Code Compliance Office: 7901 Goforth Road Dallas, TX 75238 (214) 670-8083 Requirements are: -Photo ID -Evidence of successful completion of a Registered Food Service Manager course approved by the State of Texas Department of Health or a nationally recognized sanitarian foundations (ANSI or NSF). -$30.00 per year (Cash, Check, or Money Order) It is advised to call ahead on day of visit to verify above information. Please note the offices close from12:00pm to 1:00pm.
4th rowmissing current RFSM certification must be have current FSM registered with the city
5th rowPOST SIGN” CURRENT HEALTH INSPECTION IS AVAILABLE UPON REQUEST”
ValueCountFrequency (%)
in 1525
 
3.3%
food 1113
 
2.4%
the 815
 
1.8%
and 801
 
1.8%
on 791
 
1.7%
clean 783
 
1.7%
all 749
 
1.6%
provide 718
 
1.6%
of 648
 
1.4%
at 564
 
1.2%
Other values (3167) 37148
81.4%
2024-02-21T21:13:04.479511image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42034
 
15.3%
e 19158
 
7.0%
o 14641
 
5.3%
n 11965
 
4.4%
a 11866
 
4.3%
r 11393
 
4.2%
i 11391
 
4.1%
t 11185
 
4.1%
s 10966
 
4.0%
E 7876
 
2.9%
Other values (84) 122040
44.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 156454
57.0%
Uppercase Letter 67016
24.4%
Space Separator 42034
 
15.3%
Other Punctuation 3777
 
1.4%
Decimal Number 2592
 
0.9%
Dash Punctuation 1891
 
0.7%
Close Punctuation 344
 
0.1%
Open Punctuation 333
 
0.1%
Math Symbol 25
 
< 0.1%
Other Symbol 16
 
< 0.1%
Other values (4) 33
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 19158
12.2%
o 14641
 
9.4%
n 11965
 
7.6%
a 11866
 
7.6%
r 11393
 
7.3%
i 11391
 
7.3%
t 11185
 
7.1%
s 10966
 
7.0%
l 7404
 
4.7%
d 7380
 
4.7%
Other values (18) 39105
25.0%
Uppercase Letter
ValueCountFrequency (%)
E 7876
11.8%
O 6056
 
9.0%
R 5300
 
7.9%
A 4920
 
7.3%
I 4702
 
7.0%
N 4603
 
6.9%
T 4430
 
6.6%
S 4371
 
6.5%
L 3624
 
5.4%
D 3268
 
4.9%
Other values (17) 17866
26.7%
Other Punctuation
ValueCountFrequency (%)
. 1772
46.9%
, 1129
29.9%
/ 335
 
8.9%
' 136
 
3.6%
: 116
 
3.1%
* 94
 
2.5%
& 65
 
1.7%
" 58
 
1.5%
; 39
 
1.0%
! 14
 
0.4%
Other values (3) 19
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 403
15.5%
0 378
14.6%
3 302
11.7%
4 278
10.7%
5 268
10.3%
2 253
9.8%
6 224
8.6%
7 214
8.3%
8 158
 
6.1%
9 114
 
4.4%
Math Symbol
ValueCountFrequency (%)
+ 9
36.0%
> 8
32.0%
< 7
28.0%
~ 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 343
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 332
99.7%
[ 1
 
0.3%
Final Punctuation
ValueCountFrequency (%)
13
92.9%
1
 
7.1%
Space Separator
ValueCountFrequency (%)
42034
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1891
100.0%
Other Symbol
ValueCountFrequency (%)
° 16
100.0%
Initial Punctuation
ValueCountFrequency (%)
8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 223470
81.4%
Common 51045
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 19158
 
8.6%
o 14641
 
6.6%
n 11965
 
5.4%
a 11866
 
5.3%
r 11393
 
5.1%
i 11391
 
5.1%
t 11185
 
5.0%
s 10966
 
4.9%
E 7876
 
3.5%
l 7404
 
3.3%
Other values (45) 105625
47.3%
Common
ValueCountFrequency (%)
42034
82.3%
- 1891
 
3.7%
. 1772
 
3.5%
, 1129
 
2.2%
1 403
 
0.8%
0 378
 
0.7%
) 343
 
0.7%
/ 335
 
0.7%
( 332
 
0.7%
3 302
 
0.6%
Other values (29) 2126
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 274473
> 99.9%
Punctuation 22
 
< 0.1%
None 20
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42034
 
15.3%
e 19158
 
7.0%
o 14641
 
5.3%
n 11965
 
4.4%
a 11866
 
4.3%
r 11393
 
4.2%
i 11391
 
4.2%
t 11185
 
4.1%
s 10966
 
4.0%
E 7876
 
2.9%
Other values (77) 121998
44.4%
None
ValueCountFrequency (%)
° 16
80.0%
Á 2
 
10.0%
ú 1
 
5.0%
á 1
 
5.0%
Punctuation
ValueCountFrequency (%)
13
59.1%
8
36.4%
1
 
4.5%
Distinct328
Distinct (%)7.8%
Missing74182
Missing (%)94.6%
Memory size612.6 KiB
2024-02-21T21:13:04.650541image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length84
Mean length46.388336
Min length12

Characters and Unicode

Total characters195666
Distinct characters82
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)2.1%

Sample

1st row*41 Food storage containers, identified with common name of food.
2nd row*29 Sanitizing solutions, testing devices
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*29 Concentration of the sanitizing solution shall be accurately determined by using a test kit or o
5th row*31 Individual, disposable towels
ValueCountFrequency (%)
food 1234
 
4.0%
663
 
2.2%
in 548
 
1.8%
or 522
 
1.7%
of 402
 
1.3%
and 373
 
1.2%
for 367
 
1.2%
the 361
 
1.2%
not 342
 
1.1%
47 340
 
1.1%
Other values (810) 25572
83.2%
2024-02-21T21:13:05.165979image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26928
13.8%
e 15898
 
8.1%
o 14646
 
7.5%
n 12101
 
6.2%
i 11970
 
6.1%
t 11418
 
5.8%
s 10357
 
5.3%
a 9860
 
5.0%
r 9173
 
4.7%
d 6721
 
3.4%
Other values (72) 66594
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 141363
72.2%
Space Separator 26928
 
13.8%
Decimal Number 9947
 
5.1%
Uppercase Letter 8229
 
4.2%
Other Punctuation 7509
 
3.8%
Dash Punctuation 1167
 
0.6%
Open Punctuation 211
 
0.1%
Close Punctuation 211
 
0.1%
Math Symbol 101
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 15898
11.2%
o 14646
10.4%
n 12101
 
8.6%
i 11970
 
8.5%
t 11418
 
8.1%
s 10357
 
7.3%
a 9860
 
7.0%
r 9173
 
6.5%
d 6721
 
4.8%
l 5703
 
4.0%
Other values (18) 33516
23.7%
Uppercase Letter
ValueCountFrequency (%)
F 1262
15.3%
C 1038
12.6%
S 812
9.9%
T 561
 
6.8%
H 517
 
6.3%
P 490
 
6.0%
D 487
 
5.9%
O 446
 
5.4%
R 396
 
4.8%
E 387
 
4.7%
Other values (14) 1833
22.3%
Other Punctuation
ValueCountFrequency (%)
* 4218
56.2%
, 1615
 
21.5%
/ 846
 
11.3%
. 393
 
5.2%
: 201
 
2.7%
& 128
 
1.7%
' 78
 
1.0%
? 13
 
0.2%
" 6
 
0.1%
; 5
 
0.1%
Other values (2) 6
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 2152
21.6%
3 1655
16.6%
2 1481
14.9%
1 1305
13.1%
5 822
 
8.3%
0 688
 
6.9%
7 641
 
6.4%
9 492
 
4.9%
6 472
 
4.7%
8 239
 
2.4%
Math Symbol
ValueCountFrequency (%)
> 78
77.2%
< 15
 
14.9%
= 6
 
5.9%
+ 2
 
2.0%
Space Separator
ValueCountFrequency (%)
26928
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 211
100.0%
Close Punctuation
ValueCountFrequency (%)
) 211
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 149592
76.5%
Common 46074
 
23.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 15898
 
10.6%
o 14646
 
9.8%
n 12101
 
8.1%
i 11970
 
8.0%
t 11418
 
7.6%
s 10357
 
6.9%
a 9860
 
6.6%
r 9173
 
6.1%
d 6721
 
4.5%
l 5703
 
3.8%
Other values (42) 41745
27.9%
Common
ValueCountFrequency (%)
26928
58.4%
* 4218
 
9.2%
4 2152
 
4.7%
3 1655
 
3.6%
, 1615
 
3.5%
2 1481
 
3.2%
1 1305
 
2.8%
- 1167
 
2.5%
/ 846
 
1.8%
5 822
 
1.8%
Other values (20) 3885
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 195410
99.9%
None 256
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26928
13.8%
e 15898
 
8.1%
o 14646
 
7.5%
n 12101
 
6.2%
i 11970
 
6.1%
t 11418
 
5.8%
s 10357
 
5.3%
a 9860
 
5.0%
r 9173
 
4.7%
d 6721
 
3.4%
Other values (69) 66338
33.9%
None
ValueCountFrequency (%)
ø 247
96.5%
õ 6
 
2.3%
§ 3
 
1.2%

Violation Points - 12
Categorical

MISSING 

Distinct3
Distinct (%)0.1%
Missing74182
Missing (%)94.6%
Memory size612.6 KiB
1.0
2472 
2.0
928 
3.0
818 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters12654
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 2472
 
3.2%
2.0 928
 
1.2%
3.0 818
 
1.0%
(Missing) 74182
94.6%

Length

2024-02-21T21:13:05.307359image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:05.411122image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2472
58.6%
2.0 928
 
22.0%
3.0 818
 
19.4%

Most occurring characters

ValueCountFrequency (%)
. 4218
33.3%
0 4218
33.3%
1 2472
19.5%
2 928
 
7.3%
3 818
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8436
66.7%
Other Punctuation 4218
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4218
50.0%
1 2472
29.3%
2 928
 
11.0%
3 818
 
9.7%
Other Punctuation
ValueCountFrequency (%)
. 4218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12654
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 4218
33.3%
0 4218
33.3%
1 2472
19.5%
2 928
 
7.3%
3 818
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12654
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4218
33.3%
0 4218
33.3%
1 2472
19.5%
2 928
 
7.3%
3 818
 
6.5%

Violation Detail - 12
Text

MISSING 

Distinct332
Distinct (%)8.0%
Missing74263
Missing (%)94.7%
Memory size612.6 KiB
2024-02-21T21:13:05.606859image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length994
Median length672
Mean length360.12884
Min length125

Characters and Unicode

Total characters1489853
Distinct characters75
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)2.2%

Sample

1st row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
2nd row228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (p) Warewashing equipment, determining chemical sanitizer concentration. Concentration of the sanitizing solution shall be accurately determined by using a test kit or other device.
5th row228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;
ValueCountFrequency (%)
and 11213
 
5.5%
food 8645
 
4.2%
of 7091
 
3.4%
the 6311
 
3.1%
a 5512
 
2.7%
shall 4614
 
2.2%
in 4492
 
2.2%
be 4112
 
2.0%
or 3694
 
1.8%
equipment 3678
 
1.8%
Other values (1868) 146335
71.1%
2024-02-21T21:13:05.993414image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
303901
20.4%
e 126688
 
8.5%
i 87736
 
5.9%
a 86710
 
5.8%
n 86568
 
5.8%
t 83418
 
5.6%
o 81804
 
5.5%
s 80270
 
5.4%
r 59247
 
4.0%
d 48909
 
3.3%
Other values (65) 444602
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1046755
70.3%
Space Separator 303901
 
20.4%
Other Punctuation 42307
 
2.8%
Decimal Number 35673
 
2.4%
Uppercase Letter 31971
 
2.1%
Close Punctuation 12349
 
0.8%
Open Punctuation 12272
 
0.8%
Dash Punctuation 4621
 
0.3%
Currency Symbol 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 126688
12.1%
i 87736
 
8.4%
a 86710
 
8.3%
n 86568
 
8.3%
t 83418
 
8.0%
o 81804
 
7.8%
s 80270
 
7.7%
r 59247
 
5.7%
d 48909
 
4.7%
l 45422
 
4.3%
Other values (17) 259983
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 4353
13.6%
P 3678
11.5%
E 3648
11.4%
C 2947
9.2%
T 2232
 
7.0%
S 1982
 
6.2%
A 1943
 
6.1%
L 1609
 
5.0%
R 1572
 
4.9%
U 1508
 
4.7%
Other values (14) 6499
20.3%
Decimal Number
ValueCountFrequency (%)
2 12398
34.8%
1 7409
20.8%
8 5512
15.5%
6 2003
 
5.6%
7 1934
 
5.4%
5 1797
 
5.0%
4 1654
 
4.6%
3 1633
 
4.6%
0 910
 
2.6%
9 423
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 19406
45.9%
, 18683
44.2%
: 1893
 
4.5%
; 1842
 
4.4%
/ 322
 
0.8%
' 83
 
0.2%
# 78
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 12348
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 12271
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
303901
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4621
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1078726
72.4%
Common 411127
 
27.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 126688
11.7%
i 87736
 
8.1%
a 86710
 
8.0%
n 86568
 
8.0%
t 83418
 
7.7%
o 81804
 
7.6%
s 80270
 
7.4%
r 59247
 
5.5%
d 48909
 
4.5%
l 45422
 
4.2%
Other values (41) 291954
27.1%
Common
ValueCountFrequency (%)
303901
73.9%
. 19406
 
4.7%
, 18683
 
4.5%
2 12398
 
3.0%
) 12348
 
3.0%
( 12271
 
3.0%
1 7409
 
1.8%
8 5512
 
1.3%
- 4621
 
1.1%
6 2003
 
0.5%
Other values (14) 12575
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1489004
99.9%
None 849
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
303901
20.4%
e 126688
 
8.5%
i 87736
 
5.9%
a 86710
 
5.8%
n 86568
 
5.8%
t 83418
 
5.6%
o 81804
 
5.5%
s 80270
 
5.4%
r 59247
 
4.0%
d 48909
 
3.3%
Other values (64) 443753
29.8%
None
ValueCountFrequency (%)
õ 849
100.0%

Violation Memo - 12
Text

MISSING 

Distinct3006
Distinct (%)86.7%
Missing74933
Missing (%)95.6%
Memory size612.6 KiB
2024-02-21T21:13:06.224186image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length502
Median length201
Mean length46.540525
Min length1

Characters and Unicode

Total characters161356
Distinct characters89
Distinct categories14 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2842 ?
Unique (%)82.0%

Sample

1st rowLabel white containers with bulk food.
2nd rowPlease provide test strips for
3rd rowfloors under equipment and in all areas dirty with soils accumulations, food debris, litter and grease spills must be clean to avoid cross contamination walls with spills in all areas must be clean o avoid contamination
4th rowprovide test strips for sanitizer.
5th rowprovide paper towels at hand sink
ValueCountFrequency (%)
in 947
 
3.5%
food 659
 
2.4%
and 538
 
2.0%
clean 512
 
1.9%
on 492
 
1.8%
the 435
 
1.6%
all 420
 
1.6%
provide 398
 
1.5%
of 355
 
1.3%
observed 335
 
1.2%
Other values (2519) 22001
81.2%
2024-02-21T21:13:06.626351image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24518
 
15.2%
e 11591
 
7.2%
o 8876
 
5.5%
n 7302
 
4.5%
a 7235
 
4.5%
i 7010
 
4.3%
r 6979
 
4.3%
s 6900
 
4.3%
t 6546
 
4.1%
l 4739
 
2.9%
Other values (79) 69660
43.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 95276
59.0%
Uppercase Letter 37190
 
23.0%
Space Separator 24518
 
15.2%
Other Punctuation 2235
 
1.4%
Decimal Number 1507
 
0.9%
Dash Punctuation 211
 
0.1%
Open Punctuation 185
 
0.1%
Close Punctuation 184
 
0.1%
Other Symbol 21
 
< 0.1%
Math Symbol 9
 
< 0.1%
Other values (4) 20
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 11591
12.2%
o 8876
 
9.3%
n 7302
 
7.7%
a 7235
 
7.6%
i 7010
 
7.4%
r 6979
 
7.3%
s 6900
 
7.2%
t 6546
 
6.9%
l 4739
 
5.0%
d 4515
 
4.7%
Other values (16) 23583
24.8%
Uppercase Letter
ValueCountFrequency (%)
E 4330
11.6%
O 3473
 
9.3%
R 2909
 
7.8%
N 2691
 
7.2%
A 2648
 
7.1%
I 2617
 
7.0%
T 2448
 
6.6%
S 2371
 
6.4%
L 1952
 
5.2%
D 1777
 
4.8%
Other values (16) 9974
26.8%
Other Punctuation
ValueCountFrequency (%)
. 1085
48.5%
, 731
32.7%
/ 168
 
7.5%
' 69
 
3.1%
& 44
 
2.0%
* 36
 
1.6%
: 33
 
1.5%
" 32
 
1.4%
; 17
 
0.8%
@ 10
 
0.4%
Other values (2) 10
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 243
16.1%
0 232
15.4%
4 170
11.3%
3 153
10.2%
2 149
9.9%
5 147
9.8%
6 139
9.2%
7 115
7.6%
9 82
 
5.4%
8 77
 
5.1%
Math Symbol
ValueCountFrequency (%)
< 5
55.6%
> 3
33.3%
+ 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 183
98.9%
[ 2
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 182
98.9%
] 2
 
1.1%
Final Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Space Separator
ValueCountFrequency (%)
24518
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%
Other Symbol
ValueCountFrequency (%)
° 21
100.0%
Initial Punctuation
ValueCountFrequency (%)
8
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 132466
82.1%
Common 28890
 
17.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 11591
 
8.8%
o 8876
 
6.7%
n 7302
 
5.5%
a 7235
 
5.5%
i 7010
 
5.3%
r 6979
 
5.3%
s 6900
 
5.2%
t 6546
 
4.9%
l 4739
 
3.6%
d 4515
 
3.4%
Other values (42) 60773
45.9%
Common
ValueCountFrequency (%)
24518
84.9%
. 1085
 
3.8%
, 731
 
2.5%
1 243
 
0.8%
0 232
 
0.8%
- 211
 
0.7%
( 183
 
0.6%
) 182
 
0.6%
4 170
 
0.6%
/ 168
 
0.6%
Other values (27) 1167
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 161323
> 99.9%
None 21
 
< 0.1%
Punctuation 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24518
 
15.2%
e 11591
 
7.2%
o 8876
 
5.5%
n 7302
 
4.5%
a 7235
 
4.5%
i 7010
 
4.3%
r 6979
 
4.3%
s 6900
 
4.3%
t 6546
 
4.1%
l 4739
 
2.9%
Other values (75) 69627
43.2%
None
ValueCountFrequency (%)
° 21
100.0%
Punctuation
ValueCountFrequency (%)
8
66.7%
3
 
25.0%
1
 
8.3%
Distinct288
Distinct (%)10.8%
Missing75722
Missing (%)96.6%
Memory size612.6 KiB
2024-02-21T21:13:06.806094image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length80
Mean length45.917849
Min length12

Characters and Unicode

Total characters122968
Distinct characters80
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)3.3%

Sample

1st row*42 Floors/walls/ceiling/nonfood dirty
2nd row*28 Date marking > 24 hrs,on site,temp 41F
3rd row*32 Food-contact surfaces. smooth, non-absorbent and easily cleanable
4th row*19 Water & Plumbing in good repair- per code
5th row*35 Eating food, chewing gum, drinking beverages, or using tobacco
ValueCountFrequency (%)
food 801
 
4.1%
460
 
2.4%
in 361
 
1.9%
or 315
 
1.6%
and 251
 
1.3%
of 244
 
1.3%
not 213
 
1.1%
42 213
 
1.1%
for 207
 
1.1%
equipment 199
 
1.0%
Other values (758) 16073
83.1%
2024-02-21T21:13:07.133343image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16950
13.8%
e 9955
 
8.1%
o 9215
 
7.5%
n 7504
 
6.1%
i 7451
 
6.1%
t 7133
 
5.8%
s 6377
 
5.2%
a 6288
 
5.1%
r 5791
 
4.7%
d 4380
 
3.6%
Other values (70) 41924
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 88646
72.1%
Space Separator 16950
 
13.8%
Decimal Number 6317
 
5.1%
Uppercase Letter 5229
 
4.3%
Other Punctuation 4782
 
3.9%
Dash Punctuation 740
 
0.6%
Close Punctuation 115
 
0.1%
Open Punctuation 115
 
0.1%
Math Symbol 74
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 9955
11.2%
o 9215
10.4%
n 7504
 
8.5%
i 7451
 
8.4%
t 7133
 
8.0%
s 6377
 
7.2%
a 6288
 
7.1%
r 5791
 
6.5%
d 4380
 
4.9%
l 3495
 
3.9%
Other values (18) 21057
23.8%
Uppercase Letter
ValueCountFrequency (%)
F 861
16.5%
C 656
12.5%
S 483
9.2%
T 358
 
6.8%
D 317
 
6.1%
P 303
 
5.8%
H 302
 
5.8%
O 283
 
5.4%
E 255
 
4.9%
R 251
 
4.8%
Other values (13) 1160
22.2%
Other Punctuation
ValueCountFrequency (%)
* 2677
56.0%
, 1032
 
21.6%
/ 519
 
10.9%
. 252
 
5.3%
: 130
 
2.7%
& 98
 
2.0%
' 50
 
1.0%
? 13
 
0.3%
" 4
 
0.1%
; 3
 
0.1%
Other values (2) 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 1423
22.5%
3 979
15.5%
2 962
15.2%
1 813
12.9%
5 501
 
7.9%
0 495
 
7.8%
7 370
 
5.9%
9 332
 
5.3%
6 273
 
4.3%
8 169
 
2.7%
Math Symbol
ValueCountFrequency (%)
> 55
74.3%
< 14
 
18.9%
= 5
 
6.8%
Space Separator
ValueCountFrequency (%)
16950
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 740
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 93875
76.3%
Common 29093
 
23.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 9955
 
10.6%
o 9215
 
9.8%
n 7504
 
8.0%
i 7451
 
7.9%
t 7133
 
7.6%
s 6377
 
6.8%
a 6288
 
6.7%
r 5791
 
6.2%
d 4380
 
4.7%
l 3495
 
3.7%
Other values (41) 26286
28.0%
Common
ValueCountFrequency (%)
16950
58.3%
* 2677
 
9.2%
4 1423
 
4.9%
, 1032
 
3.5%
3 979
 
3.4%
2 962
 
3.3%
1 813
 
2.8%
- 740
 
2.5%
/ 519
 
1.8%
5 501
 
1.7%
Other values (19) 2497
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122793
99.9%
None 175
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16950
13.8%
e 9955
 
8.1%
o 9215
 
7.5%
n 7504
 
6.1%
i 7451
 
6.1%
t 7133
 
5.8%
s 6377
 
5.2%
a 6288
 
5.1%
r 5791
 
4.7%
d 4380
 
3.6%
Other values (67) 41749
34.0%
None
ValueCountFrequency (%)
ø 172
98.3%
§ 2
 
1.1%
õ 1
 
0.6%

Violation Points - 13
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing75722
Missing (%)96.6%
Memory size612.6 KiB
1.0
1511 
2.0
597 
3.0
569 
9.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters8034
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1511
 
1.9%
2.0 597
 
0.8%
3.0 569
 
0.7%
9.0 1
 
< 0.1%
(Missing) 75722
96.6%

Length

2024-02-21T21:13:07.272149image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:07.371841image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1511
56.4%
2.0 597
 
22.3%
3.0 569
 
21.2%
9.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 2678
33.3%
0 2678
33.3%
1 1511
18.8%
2 597
 
7.4%
3 569
 
7.1%
9 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5356
66.7%
Other Punctuation 2678
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2678
50.0%
1 1511
28.2%
2 597
 
11.1%
3 569
 
10.6%
9 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 2678
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8034
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2678
33.3%
0 2678
33.3%
1 1511
18.8%
2 597
 
7.4%
3 569
 
7.1%
9 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8034
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2678
33.3%
0 2678
33.3%
1 1511
18.8%
2 597
 
7.4%
3 569
 
7.1%
9 1
 
< 0.1%

Violation Detail - 13
Text

MISSING 

Distinct291
Distinct (%)11.1%
Missing75777
Missing (%)96.7%
Memory size612.6 KiB
2024-02-21T21:13:07.609095image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length888
Median length591
Mean length362.79794
Min length125

Characters and Unicode

Total characters951619
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)3.5%

Sample

1st row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
2nd row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
3rd row228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast (j) Food-contact surfaces. All food contact surfaces, counters, or work surfaces in the establishment shall be smooth, non-absorbent and easily cleanable.
4th row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and
5th row228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.
ValueCountFrequency (%)
and 7323
 
5.6%
food 5622
 
4.3%
of 4451
 
3.4%
the 3869
 
2.9%
a 3445
 
2.6%
shall 2891
 
2.2%
in 2834
 
2.2%
be 2640
 
2.0%
or 2506
 
1.9%
equipment 2402
 
1.8%
Other values (1692) 93534
71.1%
2024-02-21T21:13:08.061061image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
194345
20.4%
e 81119
 
8.5%
i 55622
 
5.8%
a 55504
 
5.8%
n 55004
 
5.8%
t 53147
 
5.6%
o 52300
 
5.5%
s 51182
 
5.4%
r 38149
 
4.0%
d 31771
 
3.3%
Other values (61) 283476
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 668411
70.2%
Space Separator 194345
 
20.4%
Other Punctuation 27297
 
2.9%
Decimal Number 22358
 
2.3%
Uppercase Letter 20534
 
2.2%
Close Punctuation 7849
 
0.8%
Open Punctuation 7808
 
0.8%
Dash Punctuation 3017
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 81119
12.1%
i 55622
 
8.3%
a 55504
 
8.3%
n 55004
 
8.2%
t 53147
 
8.0%
o 52300
 
7.8%
s 51182
 
7.7%
r 38149
 
5.7%
d 31771
 
4.8%
l 29022
 
4.3%
Other values (17) 165591
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 2753
13.4%
E 2320
11.3%
P 2289
11.1%
C 1923
9.4%
T 1506
 
7.3%
S 1317
 
6.4%
A 1267
 
6.2%
L 1061
 
5.2%
R 1058
 
5.2%
U 948
 
4.6%
Other values (13) 4092
19.9%
Decimal Number
ValueCountFrequency (%)
2 7760
34.7%
1 4627
20.7%
8 3396
15.2%
7 1242
 
5.6%
6 1169
 
5.2%
5 1155
 
5.2%
3 1077
 
4.8%
4 1074
 
4.8%
0 582
 
2.6%
9 276
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 12338
45.2%
. 12192
44.7%
: 1247
 
4.6%
; 1198
 
4.4%
/ 223
 
0.8%
' 56
 
0.2%
# 43
 
0.2%
Space Separator
ValueCountFrequency (%)
194345
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7849
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7808
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3017
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 688945
72.4%
Common 262674
 
27.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 81119
11.8%
i 55622
 
8.1%
a 55504
 
8.1%
n 55004
 
8.0%
t 53147
 
7.7%
o 52300
 
7.6%
s 51182
 
7.4%
r 38149
 
5.5%
d 31771
 
4.6%
l 29022
 
4.2%
Other values (40) 186125
27.0%
Common
ValueCountFrequency (%)
194345
74.0%
, 12338
 
4.7%
. 12192
 
4.6%
) 7849
 
3.0%
( 7808
 
3.0%
2 7760
 
3.0%
1 4627
 
1.8%
8 3396
 
1.3%
- 3017
 
1.1%
: 1247
 
0.5%
Other values (11) 8095
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 951153
> 99.9%
None 466
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
194345
20.4%
e 81119
 
8.5%
i 55622
 
5.8%
a 55504
 
5.8%
n 55004
 
5.8%
t 53147
 
5.6%
o 52300
 
5.5%
s 51182
 
5.4%
r 38149
 
4.0%
d 31771
 
3.3%
Other values (60) 283010
29.8%
None
ValueCountFrequency (%)
õ 466
100.0%

Violation Memo - 13
Text

MISSING 

Distinct2007
Distinct (%)90.8%
Missing76189
Missing (%)97.2%
Memory size612.6 KiB
2024-02-21T21:13:08.292981image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length881
Median length177
Mean length47.569878
Min length3

Characters and Unicode

Total characters105177
Distinct characters88
Distinct categories13 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1900 ?
Unique (%)85.9%

Sample

1st rowClean inside WIC.
2nd rowNo date marking system evident.
3rd rowusing cooking paper as food surfaces in top of pans and under table shelving at the fryers area must be have proper food contact surfaces during operational hours
4th rowrepair pipes under 3 com sink, faucet
5th rowDO NOT STORE DRINKS BY PREP. SINK
ValueCountFrequency (%)
in 578
 
3.3%
food 431
 
2.4%
and 362
 
2.1%
clean 306
 
1.7%
on 303
 
1.7%
all 279
 
1.6%
the 249
 
1.4%
provide 242
 
1.4%
at 214
 
1.2%
of 212
 
1.2%
Other values (2038) 14422
82.0%
2024-02-21T21:13:08.676407image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16085
 
15.3%
e 7514
 
7.1%
o 5752
 
5.5%
n 4941
 
4.7%
a 4876
 
4.6%
i 4544
 
4.3%
r 4517
 
4.3%
s 4477
 
4.3%
t 4381
 
4.2%
d 3001
 
2.9%
Other values (78) 45089
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 62490
59.4%
Uppercase Letter 23718
 
22.6%
Space Separator 16085
 
15.3%
Other Punctuation 1535
 
1.5%
Decimal Number 917
 
0.9%
Dash Punctuation 147
 
0.1%
Close Punctuation 134
 
0.1%
Open Punctuation 129
 
0.1%
Other Symbol 9
 
< 0.1%
Math Symbol 6
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 7514
12.0%
o 5752
 
9.2%
n 4941
 
7.9%
a 4876
 
7.8%
i 4544
 
7.3%
r 4517
 
7.2%
s 4477
 
7.2%
t 4381
 
7.0%
d 3001
 
4.8%
l 2985
 
4.8%
Other values (17) 15502
24.8%
Uppercase Letter
ValueCountFrequency (%)
E 2707
11.4%
O 2135
 
9.0%
R 1871
 
7.9%
N 1715
 
7.2%
A 1700
 
7.2%
I 1671
 
7.0%
T 1578
 
6.7%
S 1571
 
6.6%
L 1267
 
5.3%
D 1160
 
4.9%
Other values (16) 6343
26.7%
Other Punctuation
ValueCountFrequency (%)
. 762
49.6%
, 449
29.3%
/ 119
 
7.8%
' 42
 
2.7%
& 39
 
2.5%
* 33
 
2.1%
: 30
 
2.0%
; 24
 
1.6%
" 20
 
1.3%
@ 11
 
0.7%
Other values (2) 6
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 141
15.4%
4 121
13.2%
0 108
11.8%
5 104
11.3%
2 90
9.8%
3 89
9.7%
7 83
9.1%
6 68
7.4%
8 61
6.7%
9 52
 
5.7%
Math Symbol
ValueCountFrequency (%)
< 3
50.0%
> 2
33.3%
+ 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 132
98.5%
] 2
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 127
98.4%
[ 2
 
1.6%
Space Separator
ValueCountFrequency (%)
16085
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%
Other Symbol
ValueCountFrequency (%)
° 9
100.0%
Final Punctuation
ValueCountFrequency (%)
4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 86208
82.0%
Common 18969
 
18.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 7514
 
8.7%
o 5752
 
6.7%
n 4941
 
5.7%
a 4876
 
5.7%
i 4544
 
5.3%
r 4517
 
5.2%
s 4477
 
5.2%
t 4381
 
5.1%
d 3001
 
3.5%
l 2985
 
3.5%
Other values (43) 39220
45.5%
Common
ValueCountFrequency (%)
16085
84.8%
. 762
 
4.0%
, 449
 
2.4%
- 147
 
0.8%
1 141
 
0.7%
) 132
 
0.7%
( 127
 
0.7%
4 121
 
0.6%
/ 119
 
0.6%
0 108
 
0.6%
Other values (25) 778
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 105161
> 99.9%
None 11
 
< 0.1%
Punctuation 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16085
 
15.3%
e 7514
 
7.1%
o 5752
 
5.5%
n 4941
 
4.7%
a 4876
 
4.6%
i 4544
 
4.3%
r 4517
 
4.3%
s 4477
 
4.3%
t 4381
 
4.2%
d 3001
 
2.9%
Other values (74) 45073
42.9%
None
ValueCountFrequency (%)
° 9
81.8%
ó 2
 
18.2%
Punctuation
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Distinct274
Distinct (%)14.5%
Missing76510
Missing (%)97.6%
Memory size612.6 KiB
2024-02-21T21:13:08.916631image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length81
Mean length46.68836
Min length12

Characters and Unicode

Total characters88241
Distinct characters79
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)5.2%

Sample

1st row*47 Handwashing signage
2nd row*24 Food Labeling- with common name of the food
3rd row*47 RFSM Certificate - Not Display
4th row*28 Date marking > 24 hrs,on site,temp 41F
5th row*18 Equipment and Utensils Multiuse Materials-safe
ValueCountFrequency (%)
food 576
 
4.2%
311
 
2.2%
or 260
 
1.9%
in 229
 
1.7%
of 194
 
1.4%
and 181
 
1.3%
not 161
 
1.2%
for 158
 
1.1%
47 156
 
1.1%
the 155
 
1.1%
Other values (716) 11454
82.8%
2024-02-21T21:13:09.315301image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12119
13.7%
e 7075
 
8.0%
o 6537
 
7.4%
n 5481
 
6.2%
i 5388
 
6.1%
t 5116
 
5.8%
s 4573
 
5.2%
a 4572
 
5.2%
r 4063
 
4.6%
d 3111
 
3.5%
Other values (69) 30206
34.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 63588
72.1%
Space Separator 12119
 
13.7%
Decimal Number 4490
 
5.1%
Uppercase Letter 3831
 
4.3%
Other Punctuation 3433
 
3.9%
Dash Punctuation 529
 
0.6%
Open Punctuation 100
 
0.1%
Close Punctuation 100
 
0.1%
Math Symbol 51
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 7075
11.1%
o 6537
10.3%
n 5481
 
8.6%
i 5388
 
8.5%
t 5116
 
8.0%
s 4573
 
7.2%
a 4572
 
7.2%
r 4063
 
6.4%
d 3111
 
4.9%
l 2588
 
4.1%
Other values (17) 15084
23.7%
Uppercase Letter
ValueCountFrequency (%)
F 626
16.3%
C 518
13.5%
S 379
9.9%
T 260
 
6.8%
H 250
 
6.5%
P 216
 
5.6%
D 214
 
5.6%
E 193
 
5.0%
O 180
 
4.7%
R 174
 
4.5%
Other values (13) 821
21.4%
Other Punctuation
ValueCountFrequency (%)
* 1889
55.0%
, 765
22.3%
/ 367
 
10.7%
. 213
 
6.2%
: 83
 
2.4%
& 64
 
1.9%
' 33
 
1.0%
; 6
 
0.2%
? 6
 
0.2%
" 4
 
0.1%
Other values (2) 3
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 979
21.8%
3 729
16.2%
2 646
14.4%
1 598
13.3%
0 352
 
7.8%
5 343
 
7.6%
7 295
 
6.6%
9 216
 
4.8%
6 206
 
4.6%
8 126
 
2.8%
Math Symbol
ValueCountFrequency (%)
> 38
74.5%
= 7
 
13.7%
< 6
 
11.8%
Space Separator
ValueCountFrequency (%)
12119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 529
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 67419
76.4%
Common 20822
 
23.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 7075
 
10.5%
o 6537
 
9.7%
n 5481
 
8.1%
i 5388
 
8.0%
t 5116
 
7.6%
s 4573
 
6.8%
a 4572
 
6.8%
r 4063
 
6.0%
d 3111
 
4.6%
l 2588
 
3.8%
Other values (40) 18915
28.1%
Common
ValueCountFrequency (%)
12119
58.2%
* 1889
 
9.1%
4 979
 
4.7%
, 765
 
3.7%
3 729
 
3.5%
2 646
 
3.1%
1 598
 
2.9%
- 529
 
2.5%
/ 367
 
1.8%
0 352
 
1.7%
Other values (19) 1849
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88102
99.8%
None 139
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12119
13.8%
e 7075
 
8.0%
o 6537
 
7.4%
n 5481
 
6.2%
i 5388
 
6.1%
t 5116
 
5.8%
s 4573
 
5.2%
a 4572
 
5.2%
r 4063
 
4.6%
d 3111
 
3.5%
Other values (67) 30067
34.1%
None
ValueCountFrequency (%)
ø 138
99.3%
§ 1
 
0.7%

Violation Points - 14
Categorical

MISSING 

Distinct3
Distinct (%)0.2%
Missing76510
Missing (%)97.6%
Memory size612.6 KiB
1.0
1036 
2.0
437 
3.0
417 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters5670
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 1036
 
1.3%
2.0 437
 
0.6%
3.0 417
 
0.5%
(Missing) 76510
97.6%

Length

2024-02-21T21:13:09.465187image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:09.573003image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1036
54.8%
2.0 437
23.1%
3.0 417
22.1%

Most occurring characters

ValueCountFrequency (%)
. 1890
33.3%
0 1890
33.3%
1 1036
18.3%
2 437
 
7.7%
3 417
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3780
66.7%
Other Punctuation 1890
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1890
50.0%
1 1036
27.4%
2 437
 
11.6%
3 417
 
11.0%
Other Punctuation
ValueCountFrequency (%)
. 1890
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5670
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1890
33.3%
0 1890
33.3%
1 1036
18.3%
2 437
 
7.7%
3 417
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5670
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1890
33.3%
0 1890
33.3%
1 1036
18.3%
2 437
 
7.7%
3 417
 
7.4%

Violation Detail - 14
Text

MISSING 

Distinct276
Distinct (%)14.8%
Missing76540
Missing (%)97.6%
Memory size612.6 KiB
2024-02-21T21:13:09.792657image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length888
Median length575
Mean length368.67366
Min length148

Characters and Unicode

Total characters685733
Distinct characters72
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)5.4%

Sample

1st row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
2nd row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;
3rd rowSec.17-2.2(c) Registered food service managers. (7) Display of certificate of registered food service manager. A food service establishment shall display the original certificate of each primary registered food service manager employed by the establishment. Each certificate must be displayed in a glass-covered frame at a location where it is easily visible to the public.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
5th row228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (1) safe;
ValueCountFrequency (%)
and 5244
 
5.5%
food 4073
 
4.3%
of 3147
 
3.3%
the 2786
 
2.9%
a 2605
 
2.7%
in 2102
 
2.2%
shall 2089
 
2.2%
be 1907
 
2.0%
or 1840
 
1.9%
equipment 1587
 
1.7%
Other values (1698) 67517
71.1%
2024-02-21T21:13:10.219376image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140441
20.5%
e 58078
 
8.5%
i 40445
 
5.9%
a 40044
 
5.8%
n 39534
 
5.8%
t 38107
 
5.6%
o 37669
 
5.5%
s 36733
 
5.4%
r 27234
 
4.0%
d 22875
 
3.3%
Other values (62) 204573
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 480502
70.1%
Space Separator 140441
 
20.5%
Other Punctuation 19529
 
2.8%
Decimal Number 16554
 
2.4%
Uppercase Letter 14987
 
2.2%
Close Punctuation 5825
 
0.8%
Open Punctuation 5804
 
0.8%
Dash Punctuation 2089
 
0.3%
Currency Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 58078
12.1%
i 40445
 
8.4%
a 40044
 
8.3%
n 39534
 
8.2%
t 38107
 
7.9%
o 37669
 
7.8%
s 36733
 
7.6%
r 27234
 
5.7%
d 22875
 
4.8%
l 20777
 
4.3%
Other values (17) 119006
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 2034
13.6%
P 1635
10.9%
E 1634
10.9%
C 1436
9.6%
T 1110
 
7.4%
S 984
 
6.6%
A 964
 
6.4%
L 752
 
5.0%
R 744
 
5.0%
U 679
 
4.5%
Other values (13) 3015
20.1%
Decimal Number
ValueCountFrequency (%)
2 5747
34.7%
1 3318
20.0%
8 2557
15.4%
7 940
 
5.7%
5 887
 
5.4%
6 872
 
5.3%
3 778
 
4.7%
4 775
 
4.7%
0 476
 
2.9%
9 204
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 8751
44.8%
, 8744
44.8%
: 951
 
4.9%
; 845
 
4.3%
/ 173
 
0.9%
' 42
 
0.2%
# 23
 
0.1%
Space Separator
ValueCountFrequency (%)
140441
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5825
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5804
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2089
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 495489
72.3%
Common 190244
 
27.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 58078
11.7%
i 40445
 
8.2%
a 40044
 
8.1%
n 39534
 
8.0%
t 38107
 
7.7%
o 37669
 
7.6%
s 36733
 
7.4%
r 27234
 
5.5%
d 22875
 
4.6%
l 20777
 
4.2%
Other values (40) 133993
27.0%
Common
ValueCountFrequency (%)
140441
73.8%
. 8751
 
4.6%
, 8744
 
4.6%
) 5825
 
3.1%
( 5804
 
3.1%
2 5747
 
3.0%
1 3318
 
1.7%
8 2557
 
1.3%
- 2089
 
1.1%
: 951
 
0.5%
Other values (12) 6017
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 685308
99.9%
None 425
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140441
20.5%
e 58078
 
8.5%
i 40445
 
5.9%
a 40044
 
5.8%
n 39534
 
5.8%
t 38107
 
5.6%
o 37669
 
5.5%
s 36733
 
5.4%
r 27234
 
4.0%
d 22875
 
3.3%
Other values (61) 204148
29.8%
None
ValueCountFrequency (%)
õ 425
100.0%

Violation Memo - 14
Text

MISSING 

Distinct1424
Distinct (%)91.3%
Missing76841
Missing (%)98.0%
Memory size612.6 KiB
2024-02-21T21:13:10.459966image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length818
Median length158
Mean length48.068634
Min length4

Characters and Unicode

Total characters74939
Distinct characters87
Distinct categories14 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1347 ?
Unique (%)86.4%

Sample

1st rowNeed HW signs in restrooms.
2nd rowmissing food labels on food containers in different areas must be have food labels to avoid cross contamination
3rd rowDATE MARK ALL FOOD PRODUCTS WITH USE BY DATE WITH SHELF LIFE OF 7 DAYS OR LESS
4th rowusing thank you bags as food containers must be have approved commercial food containers to avoid chemical contamination
5th rowCooked chicken held at 114.6 degrees Cooked peppers held at 112.4 degrees
ValueCountFrequency (%)
in 390
 
3.1%
food 327
 
2.6%
on 246
 
1.9%
and 235
 
1.9%
all 203
 
1.6%
of 189
 
1.5%
the 182
 
1.4%
clean 164
 
1.3%
to 160
 
1.3%
provide 154
 
1.2%
Other values (1772) 10368
82.2%
2024-02-21T21:13:10.904926image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11524
 
15.4%
e 5223
 
7.0%
o 4034
 
5.4%
n 3444
 
4.6%
a 3282
 
4.4%
i 3191
 
4.3%
t 3110
 
4.2%
r 3042
 
4.1%
s 3007
 
4.0%
d 2108
 
2.8%
Other values (77) 32974
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 43147
57.6%
Uppercase Letter 17999
24.0%
Space Separator 11524
 
15.4%
Other Punctuation 1158
 
1.5%
Decimal Number 813
 
1.1%
Dash Punctuation 122
 
0.2%
Close Punctuation 79
 
0.1%
Open Punctuation 74
 
0.1%
Currency Symbol 7
 
< 0.1%
Final Punctuation 7
 
< 0.1%
Other values (4) 9
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5223
12.1%
o 4034
 
9.3%
n 3444
 
8.0%
a 3282
 
7.6%
i 3191
 
7.4%
t 3110
 
7.2%
r 3042
 
7.1%
s 3007
 
7.0%
d 2108
 
4.9%
l 2021
 
4.7%
Other values (16) 10685
24.8%
Uppercase Letter
ValueCountFrequency (%)
E 1998
11.1%
O 1660
 
9.2%
R 1373
 
7.6%
A 1277
 
7.1%
N 1252
 
7.0%
S 1245
 
6.9%
T 1232
 
6.8%
I 1226
 
6.8%
L 922
 
5.1%
D 857
 
4.8%
Other values (16) 4957
27.5%
Other Punctuation
ValueCountFrequency (%)
. 546
47.2%
, 339
29.3%
/ 72
 
6.2%
* 43
 
3.7%
& 41
 
3.5%
' 40
 
3.5%
: 34
 
2.9%
" 19
 
1.6%
; 10
 
0.9%
@ 7
 
0.6%
Other values (2) 7
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 140
17.2%
0 111
13.7%
4 98
12.1%
5 84
10.3%
2 81
10.0%
3 81
10.0%
6 76
9.3%
7 58
7.1%
8 48
 
5.9%
9 36
 
4.4%
Math Symbol
ValueCountFrequency (%)
> 3
50.0%
+ 2
33.3%
< 1
 
16.7%
Final Punctuation
ValueCountFrequency (%)
6
85.7%
1
 
14.3%
Space Separator
ValueCountFrequency (%)
11524
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 7
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 61146
81.6%
Common 13793
 
18.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5223
 
8.5%
o 4034
 
6.6%
n 3444
 
5.6%
a 3282
 
5.4%
i 3191
 
5.2%
t 3110
 
5.1%
r 3042
 
5.0%
s 3007
 
4.9%
d 2108
 
3.4%
l 2021
 
3.3%
Other values (42) 28684
46.9%
Common
ValueCountFrequency (%)
11524
83.5%
. 546
 
4.0%
, 339
 
2.5%
1 140
 
1.0%
- 122
 
0.9%
0 111
 
0.8%
4 98
 
0.7%
5 84
 
0.6%
2 81
 
0.6%
3 81
 
0.6%
Other values (25) 667
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74930
> 99.9%
Punctuation 8
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11524
 
15.4%
e 5223
 
7.0%
o 4034
 
5.4%
n 3444
 
4.6%
a 3282
 
4.4%
i 3191
 
4.3%
t 3110
 
4.2%
r 3042
 
4.1%
s 3007
 
4.0%
d 2108
 
2.8%
Other values (73) 32965
44.0%
Punctuation
ValueCountFrequency (%)
6
75.0%
1
 
12.5%
1
 
12.5%
None
ValueCountFrequency (%)
° 1
100.0%
Distinct237
Distinct (%)17.8%
Missing77068
Missing (%)98.3%
Memory size612.6 KiB
2024-02-21T21:13:11.185669image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length84
Mean length46.632883
Min length13

Characters and Unicode

Total characters62115
Distinct characters79
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)7.3%

Sample

1st row*31 No soap at handsink
2nd row*09 Food protected cross contamination arrange each type food in equipment so cross is prevented
3rd row*21 Demonstrateion of knowledge by PIC
4th row*02 Cold Hold (41øF/45øF or below)
5th row*10 Clean Sight and Touch
ValueCountFrequency (%)
food 425
 
4.4%
217
 
2.2%
in 215
 
2.2%
or 191
 
2.0%
not 120
 
1.2%
cross 107
 
1.1%
of 105
 
1.1%
and 102
 
1.0%
42 97
 
1.0%
contamination 97
 
1.0%
Other values (660) 8047
82.8%
2024-02-21T21:13:11.640299image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8552
13.8%
e 4895
 
7.9%
o 4678
 
7.5%
n 3818
 
6.1%
i 3696
 
6.0%
t 3546
 
5.7%
a 3355
 
5.4%
s 3158
 
5.1%
r 3040
 
4.9%
d 2243
 
3.6%
Other values (69) 21134
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 44689
71.9%
Space Separator 8552
 
13.8%
Decimal Number 3198
 
5.1%
Uppercase Letter 2697
 
4.3%
Other Punctuation 2444
 
3.9%
Dash Punctuation 376
 
0.6%
Open Punctuation 66
 
0.1%
Close Punctuation 65
 
0.1%
Math Symbol 28
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4895
11.0%
o 4678
10.5%
n 3818
 
8.5%
i 3696
 
8.3%
t 3546
 
7.9%
a 3355
 
7.5%
s 3158
 
7.1%
r 3040
 
6.8%
d 2243
 
5.0%
l 1758
 
3.9%
Other values (17) 10502
23.5%
Uppercase Letter
ValueCountFrequency (%)
F 493
18.3%
C 345
12.8%
S 250
9.3%
T 196
 
7.3%
H 170
 
6.3%
P 148
 
5.5%
O 144
 
5.3%
D 129
 
4.8%
E 116
 
4.3%
R 115
 
4.3%
Other values (14) 591
21.9%
Other Punctuation
ValueCountFrequency (%)
* 1332
54.5%
, 521
 
21.3%
/ 316
 
12.9%
. 121
 
5.0%
: 63
 
2.6%
& 51
 
2.1%
' 27
 
1.1%
? 5
 
0.2%
" 4
 
0.2%
# 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 719
22.5%
3 490
15.3%
2 476
14.9%
1 437
13.7%
5 267
 
8.3%
0 263
 
8.2%
7 184
 
5.8%
9 161
 
5.0%
6 119
 
3.7%
8 82
 
2.6%
Math Symbol
ValueCountFrequency (%)
> 23
82.1%
< 4
 
14.3%
+ 1
 
3.6%
Space Separator
ValueCountFrequency (%)
8552
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 376
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 47386
76.3%
Common 14729
 
23.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4895
 
10.3%
o 4678
 
9.9%
n 3818
 
8.1%
i 3696
 
7.8%
t 3546
 
7.5%
a 3355
 
7.1%
s 3158
 
6.7%
r 3040
 
6.4%
d 2243
 
4.7%
l 1758
 
3.7%
Other values (41) 13199
27.9%
Common
ValueCountFrequency (%)
8552
58.1%
* 1332
 
9.0%
4 719
 
4.9%
, 521
 
3.5%
3 490
 
3.3%
2 476
 
3.2%
1 437
 
3.0%
- 376
 
2.6%
/ 316
 
2.1%
5 267
 
1.8%
Other values (18) 1243
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61996
99.8%
None 119
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8552
13.8%
e 4895
 
7.9%
o 4678
 
7.5%
n 3818
 
6.2%
i 3696
 
6.0%
t 3546
 
5.7%
a 3355
 
5.4%
s 3158
 
5.1%
r 3040
 
4.9%
d 2243
 
3.6%
Other values (68) 21015
33.9%
None
ValueCountFrequency (%)
ø 119
100.0%

Violation Points - 15
Categorical

MISSING 

Distinct3
Distinct (%)0.2%
Missing77068
Missing (%)98.3%
Memory size612.6 KiB
1.0
727 
3.0
335 
2.0
270 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3996
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row3.0
3rd row2.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 727
 
0.9%
3.0 335
 
0.4%
2.0 270
 
0.3%
(Missing) 77068
98.3%

Length

2024-02-21T21:13:11.788934image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:11.888234image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 727
54.6%
3.0 335
25.2%
2.0 270
 
20.3%

Most occurring characters

ValueCountFrequency (%)
. 1332
33.3%
0 1332
33.3%
1 727
18.2%
3 335
 
8.4%
2 270
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2664
66.7%
Other Punctuation 1332
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1332
50.0%
1 727
27.3%
3 335
 
12.6%
2 270
 
10.1%
Other Punctuation
ValueCountFrequency (%)
. 1332
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3996
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1332
33.3%
0 1332
33.3%
1 727
18.2%
3 335
 
8.4%
2 270
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3996
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1332
33.3%
0 1332
33.3%
1 727
18.2%
3 335
 
8.4%
2 270
 
6.8%

Violation Detail - 15
Text

MISSING 

Distinct237
Distinct (%)18.1%
Missing77092
Missing (%)98.3%
Memory size612.6 KiB
2024-02-21T21:13:12.114596image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length888
Median length575
Mean length365.29434
Min length125

Characters and Unicode

Total characters477805
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)7.3%

Sample

1st row228.175 Physical Facilities. Handwashing Sinks. (b) Handwashing cleanser, availability. Each handwashing lavatory or group of two adjacent lavatories shall be provided with a supply of hand cleaning liquid, powder, or bar soap.
2nd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; and
3rd row(b) Demonstration of knowledge by person in charge of a food establishment. Based on the risks of foodborne illness inherent to the food operation, the person in charge shall, during inspections and upon request, demonstrate to the director knowledge of foodborne disease prevention, application of the Hazard Analysis Critical Control Point principles, and the requirements of this chapter. The person in charge shall demonstrate this knowledge by compliance with this chapter, by being a registered food protection manager who has shown proficiency of required information through passing a test that is part of an accredited program and by responding correctly to the inspector's questions as they relate to the specific food operation. The person in charge may demonstrate such knowledge by
4th row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
ValueCountFrequency (%)
and 3590
 
5.4%
food 2854
 
4.3%
of 2194
 
3.3%
the 1853
 
2.8%
a 1752
 
2.6%
shall 1452
 
2.2%
in 1439
 
2.2%
be 1319
 
2.0%
or 1252
 
1.9%
equipment 1081
 
1.6%
Other values (1586) 47346
71.6%
2024-02-21T21:13:12.565402image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97840
20.5%
e 40471
 
8.5%
a 28180
 
5.9%
i 27648
 
5.8%
n 27401
 
5.7%
o 26344
 
5.5%
t 26148
 
5.5%
s 25482
 
5.3%
r 19084
 
4.0%
d 15927
 
3.3%
Other values (61) 143280
30.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 334488
70.0%
Space Separator 97840
 
20.5%
Other Punctuation 13714
 
2.9%
Decimal Number 11421
 
2.4%
Uppercase Letter 10566
 
2.2%
Close Punctuation 4169
 
0.9%
Open Punctuation 4142
 
0.9%
Dash Punctuation 1465
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 40471
12.1%
a 28180
 
8.4%
i 27648
 
8.3%
n 27401
 
8.2%
o 26344
 
7.9%
t 26148
 
7.8%
s 25482
 
7.6%
r 19084
 
5.7%
d 15927
 
4.8%
l 14435
 
4.3%
Other values (17) 83368
24.9%
Uppercase Letter
ValueCountFrequency (%)
F 1476
14.0%
P 1184
11.2%
E 1111
10.5%
C 1015
9.6%
T 815
 
7.7%
A 665
 
6.3%
S 654
 
6.2%
R 567
 
5.4%
L 488
 
4.6%
U 421
 
4.0%
Other values (13) 2170
20.5%
Decimal Number
ValueCountFrequency (%)
2 3917
34.3%
1 2357
20.6%
8 1705
14.9%
7 682
 
6.0%
5 660
 
5.8%
6 621
 
5.4%
4 545
 
4.8%
3 536
 
4.7%
0 259
 
2.3%
9 139
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 6156
44.9%
, 6107
44.5%
: 666
 
4.9%
; 597
 
4.4%
/ 122
 
0.9%
# 34
 
0.2%
' 32
 
0.2%
Space Separator
ValueCountFrequency (%)
97840
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1465
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 345054
72.2%
Common 132751
 
27.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 40471
11.7%
a 28180
 
8.2%
i 27648
 
8.0%
n 27401
 
7.9%
o 26344
 
7.6%
t 26148
 
7.6%
s 25482
 
7.4%
r 19084
 
5.5%
d 15927
 
4.6%
l 14435
 
4.2%
Other values (40) 93934
27.2%
Common
ValueCountFrequency (%)
97840
73.7%
. 6156
 
4.6%
, 6107
 
4.6%
) 4169
 
3.1%
( 4142
 
3.1%
2 3917
 
3.0%
1 2357
 
1.8%
8 1705
 
1.3%
- 1465
 
1.1%
7 682
 
0.5%
Other values (11) 4211
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 477549
99.9%
None 256
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97840
20.5%
e 40471
 
8.5%
a 28180
 
5.9%
i 27648
 
5.8%
n 27401
 
5.7%
o 26344
 
5.5%
t 26148
 
5.5%
s 25482
 
5.3%
r 19084
 
4.0%
d 15927
 
3.3%
Other values (60) 143024
29.9%
None
ValueCountFrequency (%)
õ 256
100.0%

Violation Memo - 15
Text

MISSING 

Distinct990
Distinct (%)91.2%
Missing77314
Missing (%)98.6%
Memory size612.6 KiB
2024-02-21T21:13:12.869396image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length818
Median length151
Mean length49.089319
Min length4

Characters and Unicode

Total characters53311
Distinct characters82
Distinct categories13 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique939 ?
Unique (%)86.5%

Sample

1st rowPIC must be ensure to separated raw food from cooked food inside cooler units
2nd rowmilk 46 F eggs 47 ham 46 F
3rd rowProvide hand wash sign at all hand wash sinks.
4th rowDo not use bowl to scoop food. Use scoop with handle.
5th rowdoor needs to be closed at all times
ValueCountFrequency (%)
in 291
 
3.3%
food 202
 
2.3%
and 189
 
2.1%
on 177
 
2.0%
clean 163
 
1.8%
all 160
 
1.8%
of 119
 
1.3%
at 119
 
1.3%
to 118
 
1.3%
provide 109
 
1.2%
Other values (1521) 7253
81.5%
2024-02-21T21:13:13.356876image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8237
 
15.5%
e 3713
 
7.0%
o 2906
 
5.5%
a 2522
 
4.7%
n 2441
 
4.6%
i 2293
 
4.3%
r 2233
 
4.2%
s 2181
 
4.1%
t 2177
 
4.1%
l 1509
 
2.8%
Other values (72) 23099
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 31101
58.3%
Uppercase Letter 12294
 
23.1%
Space Separator 8237
 
15.5%
Other Punctuation 813
 
1.5%
Decimal Number 625
 
1.2%
Close Punctuation 82
 
0.2%
Open Punctuation 77
 
0.1%
Dash Punctuation 66
 
0.1%
Other Symbol 5
 
< 0.1%
Math Symbol 5
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3713
11.9%
o 2906
 
9.3%
a 2522
 
8.1%
n 2441
 
7.8%
i 2293
 
7.4%
r 2233
 
7.2%
s 2181
 
7.0%
t 2177
 
7.0%
l 1509
 
4.9%
d 1494
 
4.8%
Other values (16) 7632
24.5%
Uppercase Letter
ValueCountFrequency (%)
E 1397
11.4%
O 1122
 
9.1%
R 988
 
8.0%
A 896
 
7.3%
N 877
 
7.1%
I 836
 
6.8%
S 794
 
6.5%
T 753
 
6.1%
L 675
 
5.5%
D 603
 
4.9%
Other values (16) 3353
27.3%
Other Punctuation
ValueCountFrequency (%)
. 361
44.4%
, 254
31.2%
* 56
 
6.9%
/ 54
 
6.6%
& 27
 
3.3%
' 25
 
3.1%
: 18
 
2.2%
; 12
 
1.5%
@ 3
 
0.4%
" 3
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 103
16.5%
5 78
12.5%
0 76
12.2%
4 75
12.0%
3 69
11.0%
2 61
9.8%
7 57
9.1%
6 38
 
6.1%
9 36
 
5.8%
8 32
 
5.1%
Math Symbol
ValueCountFrequency (%)
< 3
60.0%
> 2
40.0%
Space Separator
ValueCountFrequency (%)
8237
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Other Symbol
ValueCountFrequency (%)
° 5
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 43395
81.4%
Common 9916
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3713
 
8.6%
o 2906
 
6.7%
a 2522
 
5.8%
n 2441
 
5.6%
i 2293
 
5.3%
r 2233
 
5.1%
s 2181
 
5.0%
t 2177
 
5.0%
l 1509
 
3.5%
d 1494
 
3.4%
Other values (42) 19926
45.9%
Common
ValueCountFrequency (%)
8237
83.1%
. 361
 
3.6%
, 254
 
2.6%
1 103
 
1.0%
) 82
 
0.8%
5 78
 
0.8%
( 77
 
0.8%
0 76
 
0.8%
4 75
 
0.8%
3 69
 
0.7%
Other values (20) 504
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53302
> 99.9%
None 5
 
< 0.1%
Punctuation 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8237
 
15.5%
e 3713
 
7.0%
o 2906
 
5.5%
a 2522
 
4.7%
n 2441
 
4.6%
i 2293
 
4.3%
r 2233
 
4.2%
s 2181
 
4.1%
t 2177
 
4.1%
l 1509
 
2.8%
Other values (69) 23090
43.3%
None
ValueCountFrequency (%)
° 5
100.0%
Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Distinct190
Distinct (%)21.3%
Missing77510
Missing (%)98.9%
Memory size612.6 KiB
2024-02-21T21:13:13.631949image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length81
Mean length46.723596
Min length13

Characters and Unicode

Total characters41584
Distinct characters76
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)8.4%

Sample

1st row*42 Nonfood-contact surfaces material
2nd row*47 Handwashing signage
3rd row*09 Raw ready to eat - Food protected from cross contamination by separating, storage, preparation,
4th row*40 Reuse of single service articles
5th row*42 Dirty nonfood contact surfaces
ValueCountFrequency (%)
food 253
 
3.9%
146
 
2.3%
in 120
 
1.9%
or 112
 
1.7%
and 103
 
1.6%
for 73
 
1.1%
to 73
 
1.1%
42 68
 
1.1%
of 67
 
1.0%
dirty 65
 
1.0%
Other values (581) 5392
83.3%
2024-02-21T21:13:14.069750image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5677
13.7%
e 3375
 
8.1%
o 3022
 
7.3%
n 2563
 
6.2%
i 2543
 
6.1%
t 2397
 
5.8%
s 2226
 
5.4%
a 2161
 
5.2%
r 1994
 
4.8%
d 1468
 
3.5%
Other values (66) 14158
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 30064
72.3%
Space Separator 5677
 
13.7%
Decimal Number 2078
 
5.0%
Uppercase Letter 1804
 
4.3%
Other Punctuation 1623
 
3.9%
Dash Punctuation 234
 
0.6%
Open Punctuation 35
 
0.1%
Math Symbol 35
 
0.1%
Close Punctuation 34
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3375
11.2%
o 3022
10.1%
n 2563
 
8.5%
i 2543
 
8.5%
t 2397
 
8.0%
s 2226
 
7.4%
a 2161
 
7.2%
r 1994
 
6.6%
d 1468
 
4.9%
l 1308
 
4.4%
Other values (17) 7007
23.3%
Uppercase Letter
ValueCountFrequency (%)
F 273
15.1%
C 243
13.5%
T 163
9.0%
S 162
9.0%
H 116
 
6.4%
P 110
 
6.1%
D 97
 
5.4%
O 89
 
4.9%
E 85
 
4.7%
R 77
 
4.3%
Other values (12) 389
21.6%
Other Punctuation
ValueCountFrequency (%)
* 890
54.8%
, 342
 
21.1%
/ 218
 
13.4%
. 82
 
5.1%
: 43
 
2.6%
& 28
 
1.7%
' 16
 
1.0%
" 2
 
0.1%
# 1
 
0.1%
? 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 476
22.9%
3 319
15.4%
2 312
15.0%
1 271
13.0%
0 174
 
8.4%
5 168
 
8.1%
7 108
 
5.2%
9 102
 
4.9%
6 87
 
4.2%
8 61
 
2.9%
Math Symbol
ValueCountFrequency (%)
> 23
65.7%
< 10
28.6%
= 2
 
5.7%
Space Separator
ValueCountFrequency (%)
5677
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 31868
76.6%
Common 9716
 
23.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3375
 
10.6%
o 3022
 
9.5%
n 2563
 
8.0%
i 2543
 
8.0%
t 2397
 
7.5%
s 2226
 
7.0%
a 2161
 
6.8%
r 1994
 
6.3%
d 1468
 
4.6%
l 1308
 
4.1%
Other values (39) 8811
27.6%
Common
ValueCountFrequency (%)
5677
58.4%
* 890
 
9.2%
4 476
 
4.9%
, 342
 
3.5%
3 319
 
3.3%
2 312
 
3.2%
1 271
 
2.8%
- 234
 
2.4%
/ 218
 
2.2%
0 174
 
1.8%
Other values (17) 803
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41528
99.9%
None 56
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5677
13.7%
e 3375
 
8.1%
o 3022
 
7.3%
n 2563
 
6.2%
i 2543
 
6.1%
t 2397
 
5.8%
s 2226
 
5.4%
a 2161
 
5.2%
r 1994
 
4.8%
d 1468
 
3.5%
Other values (65) 14102
34.0%
None
ValueCountFrequency (%)
ø 56
100.0%

Violation Points - 16
Categorical

MISSING 

Distinct3
Distinct (%)0.3%
Missing77510
Missing (%)98.9%
Memory size612.6 KiB
1.0
493 
3.0
207 
2.0
190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2670
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row3.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 493
 
0.6%
3.0 207
 
0.3%
2.0 190
 
0.2%
(Missing) 77510
98.9%

Length

2024-02-21T21:13:14.212439image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:14.315971image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 493
55.4%
3.0 207
23.3%
2.0 190
 
21.3%

Most occurring characters

ValueCountFrequency (%)
. 890
33.3%
0 890
33.3%
1 493
18.5%
3 207
 
7.8%
2 190
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1780
66.7%
Other Punctuation 890
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 890
50.0%
1 493
27.7%
3 207
 
11.6%
2 190
 
10.7%
Other Punctuation
ValueCountFrequency (%)
. 890
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2670
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 890
33.3%
0 890
33.3%
1 493
18.5%
3 207
 
7.8%
2 190
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2670
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 890
33.3%
0 890
33.3%
1 493
18.5%
3 207
 
7.8%
2 190
 
7.1%

Violation Detail - 16
Text

MISSING 

Distinct193
Distinct (%)22.1%
Missing77527
Missing (%)98.9%
Memory size612.6 KiB
2024-02-21T21:13:14.523804image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length888
Median length493
Mean length348.73425
Min length125

Characters and Unicode

Total characters304445
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)8.8%

Sample

1st row228.101 Equipment, Utensils, and Linens. Multiuse materials. (i) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment that are exposed to splash, spillage, or other food soiling or that require frequent cleaning shall be constructed of a corrosion-resistant, nonabsorbent, and smooth material.
2nd row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
3rd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (A) except as specified in subparagraph (A)(iii) of this paragraph,separating raw animal foods during storage, preparation, holding, and display from: (i) raw ready-to-eat food including other raw animal food such as fish for sushi or molluscan shellfish, or other raw ready-to-eat food such as vegetables; and
4th row228.112 Equipment, Utensils, and Linens. Utensils and Temperature and Pressure Measuring Devices. (c) Single-service and single-use articles use limitation. (1) Single-service and single-use articles may not be reused.
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
ValueCountFrequency (%)
and 2403
 
5.8%
food 1652
 
4.0%
of 1389
 
3.3%
the 1190
 
2.8%
a 1095
 
2.6%
shall 967
 
2.3%
be 868
 
2.1%
in 815
 
2.0%
equipment 790
 
1.9%
or 786
 
1.9%
Other values (1369) 29829
71.4%
2024-02-21T21:13:14.957795image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62559
20.5%
e 25931
 
8.5%
a 17856
 
5.9%
i 17708
 
5.8%
n 17482
 
5.7%
t 16763
 
5.5%
s 16645
 
5.5%
o 16331
 
5.4%
r 11892
 
3.9%
d 10022
 
3.3%
Other values (61) 91256
30.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 212933
69.9%
Space Separator 62559
 
20.5%
Other Punctuation 8958
 
2.9%
Decimal Number 7277
 
2.4%
Uppercase Letter 6810
 
2.2%
Close Punctuation 2459
 
0.8%
Open Punctuation 2440
 
0.8%
Dash Punctuation 1009
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 25931
12.2%
a 17856
 
8.4%
i 17708
 
8.3%
n 17482
 
8.2%
t 16763
 
7.9%
s 16645
 
7.8%
o 16331
 
7.7%
r 11892
 
5.6%
d 10022
 
4.7%
l 9480
 
4.5%
Other values (17) 52823
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 917
13.5%
P 808
11.9%
E 755
11.1%
C 614
9.0%
T 528
 
7.8%
S 421
 
6.2%
A 394
 
5.8%
R 359
 
5.3%
L 337
 
4.9%
U 301
 
4.4%
Other values (13) 1376
20.2%
Decimal Number
ValueCountFrequency (%)
2 2537
34.9%
1 1460
20.1%
8 1146
15.7%
5 396
 
5.4%
7 383
 
5.3%
6 381
 
5.2%
4 362
 
5.0%
3 361
 
5.0%
0 168
 
2.3%
9 83
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 4087
45.6%
, 3997
44.6%
: 398
 
4.4%
; 375
 
4.2%
/ 70
 
0.8%
# 19
 
0.2%
' 12
 
0.1%
Space Separator
ValueCountFrequency (%)
62559
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2459
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2440
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 219743
72.2%
Common 84702
 
27.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 25931
11.8%
a 17856
 
8.1%
i 17708
 
8.1%
n 17482
 
8.0%
t 16763
 
7.6%
s 16645
 
7.6%
o 16331
 
7.4%
r 11892
 
5.4%
d 10022
 
4.6%
l 9480
 
4.3%
Other values (40) 59633
27.1%
Common
ValueCountFrequency (%)
62559
73.9%
. 4087
 
4.8%
, 3997
 
4.7%
2 2537
 
3.0%
) 2459
 
2.9%
( 2440
 
2.9%
1 1460
 
1.7%
8 1146
 
1.4%
- 1009
 
1.2%
: 398
 
0.5%
Other values (11) 2610
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 304287
99.9%
None 158
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62559
20.6%
e 25931
 
8.5%
a 17856
 
5.9%
i 17708
 
5.8%
n 17482
 
5.7%
t 16763
 
5.5%
s 16645
 
5.5%
o 16331
 
5.4%
r 11892
 
3.9%
d 10022
 
3.3%
Other values (60) 91098
29.9%
None
ValueCountFrequency (%)
õ 158
100.0%

Violation Memo - 16
Text

MISSING 

Distinct685
Distinct (%)92.6%
Missing77660
Missing (%)99.1%
Memory size612.6 KiB
2024-02-21T21:13:15.230067image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length397
Median length121
Mean length45.716216
Min length4

Characters and Unicode

Total characters33830
Distinct characters77
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique659 ?
Unique (%)89.1%

Sample

1st rowFoil lined surfaces
2nd rowprovide hand washing signs
3rd rowObserved raw prawns stored over cut peppers and onions. Raw chicken and pork over onions, Raw egg over vegetables.
4th rowDo not re-use single-use containers (Foil pans and butter container).
5th rowclean gaskets around cooler doors
ValueCountFrequency (%)
in 190
 
3.4%
and 123
 
2.2%
food 119
 
2.1%
clean 114
 
2.0%
on 104
 
1.8%
provide 95
 
1.7%
all 88
 
1.6%
hand 80
 
1.4%
of 74
 
1.3%
stored 73
 
1.3%
Other values (1144) 4584
81.2%
2024-02-21T21:13:15.695328image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5080
 
15.0%
e 2533
 
7.5%
o 1906
 
5.6%
a 1685
 
5.0%
n 1656
 
4.9%
s 1609
 
4.8%
i 1591
 
4.7%
r 1528
 
4.5%
t 1475
 
4.4%
d 1054
 
3.1%
Other values (67) 13713
40.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21289
62.9%
Uppercase Letter 6462
 
19.1%
Space Separator 5080
 
15.0%
Other Punctuation 550
 
1.6%
Decimal Number 332
 
1.0%
Open Punctuation 38
 
0.1%
Close Punctuation 37
 
0.1%
Dash Punctuation 34
 
0.1%
Other Symbol 8
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2533
11.9%
o 1906
 
9.0%
a 1685
 
7.9%
n 1656
 
7.8%
s 1609
 
7.6%
i 1591
 
7.5%
r 1528
 
7.2%
t 1475
 
6.9%
d 1054
 
5.0%
l 1018
 
4.8%
Other values (16) 5234
24.6%
Uppercase Letter
ValueCountFrequency (%)
E 716
11.1%
O 585
 
9.1%
R 500
 
7.7%
I 488
 
7.6%
N 461
 
7.1%
A 458
 
7.1%
T 426
 
6.6%
S 413
 
6.4%
L 357
 
5.5%
D 320
 
5.0%
Other values (15) 1738
26.9%
Other Punctuation
ValueCountFrequency (%)
. 273
49.6%
, 177
32.2%
/ 39
 
7.1%
* 16
 
2.9%
' 16
 
2.9%
& 14
 
2.5%
: 5
 
0.9%
; 5
 
0.9%
! 3
 
0.5%
# 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 49
14.8%
3 49
14.8%
5 48
14.5%
4 46
13.9%
6 35
10.5%
0 29
8.7%
2 23
6.9%
9 20
6.0%
8 17
 
5.1%
7 16
 
4.8%
Space Separator
ValueCountFrequency (%)
5080
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Symbol
ValueCountFrequency (%)
° 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27751
82.0%
Common 6079
 
18.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2533
 
9.1%
o 1906
 
6.9%
a 1685
 
6.1%
n 1656
 
6.0%
s 1609
 
5.8%
i 1591
 
5.7%
r 1528
 
5.5%
t 1475
 
5.3%
d 1054
 
3.8%
l 1018
 
3.7%
Other values (41) 11696
42.1%
Common
ValueCountFrequency (%)
5080
83.6%
. 273
 
4.5%
, 177
 
2.9%
1 49
 
0.8%
3 49
 
0.8%
5 48
 
0.8%
4 46
 
0.8%
/ 39
 
0.6%
( 38
 
0.6%
) 37
 
0.6%
Other values (16) 243
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33822
> 99.9%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5080
 
15.0%
e 2533
 
7.5%
o 1906
 
5.6%
a 1685
 
5.0%
n 1656
 
4.9%
s 1609
 
4.8%
i 1591
 
4.7%
r 1528
 
4.5%
t 1475
 
4.4%
d 1054
 
3.1%
Other values (66) 13705
40.5%
None
ValueCountFrequency (%)
° 8
100.0%
Distinct175
Distinct (%)31.8%
Missing77850
Missing (%)99.3%
Memory size612.6 KiB
2024-02-21T21:13:15.942778image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length70
Mean length46.761818
Min length12

Characters and Unicode

Total characters25719
Distinct characters75
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)16.5%

Sample

1st row*37 Storing the food at least 15 cm (6 inches) above the floor
2nd row*41 Food storage containers, identified with common name of food.
3rd row*21 RFSM - Not On Site
4th row*31 Hand sinks: number installed for convenient use
5th row*45 Premises shall be maintained in good repair
ValueCountFrequency (%)
food 156
 
3.9%
95
 
2.4%
in 82
 
2.0%
or 61
 
1.5%
not 50
 
1.2%
of 47
 
1.2%
47 46
 
1.1%
for 45
 
1.1%
45 43
 
1.1%
shall 42
 
1.0%
Other values (565) 3348
83.4%
2024-02-21T21:13:16.360285image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3537
13.8%
e 2123
 
8.3%
o 1832
 
7.1%
i 1629
 
6.3%
n 1614
 
6.3%
t 1433
 
5.6%
a 1376
 
5.4%
s 1337
 
5.2%
r 1219
 
4.7%
d 870
 
3.4%
Other values (65) 8749
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 18590
72.3%
Space Separator 3537
 
13.8%
Decimal Number 1287
 
5.0%
Uppercase Letter 1076
 
4.2%
Other Punctuation 1010
 
3.9%
Dash Punctuation 169
 
0.7%
Open Punctuation 18
 
0.1%
Close Punctuation 17
 
0.1%
Math Symbol 15
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2123
11.4%
o 1832
9.9%
i 1629
 
8.8%
n 1614
 
8.7%
t 1433
 
7.7%
a 1376
 
7.4%
s 1337
 
7.2%
r 1219
 
6.6%
d 870
 
4.7%
l 755
 
4.1%
Other values (17) 4402
23.7%
Uppercase Letter
ValueCountFrequency (%)
F 157
14.6%
C 142
13.2%
S 97
9.0%
P 87
 
8.1%
H 75
 
7.0%
T 69
 
6.4%
O 59
 
5.5%
D 52
 
4.8%
R 48
 
4.5%
N 48
 
4.5%
Other values (12) 242
22.5%
Other Punctuation
ValueCountFrequency (%)
* 550
54.5%
, 230
22.8%
/ 96
 
9.5%
. 64
 
6.3%
& 26
 
2.6%
: 23
 
2.3%
' 11
 
1.1%
" 6
 
0.6%
# 3
 
0.3%
; 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 302
23.5%
2 201
15.6%
3 181
14.1%
1 178
13.8%
5 100
 
7.8%
7 87
 
6.8%
0 79
 
6.1%
6 61
 
4.7%
9 55
 
4.3%
8 43
 
3.3%
Math Symbol
ValueCountFrequency (%)
> 14
93.3%
< 1
 
6.7%
Space Separator
ValueCountFrequency (%)
3537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 19666
76.5%
Common 6053
 
23.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2123
 
10.8%
o 1832
 
9.3%
i 1629
 
8.3%
n 1614
 
8.2%
t 1433
 
7.3%
a 1376
 
7.0%
s 1337
 
6.8%
r 1219
 
6.2%
d 870
 
4.4%
l 755
 
3.8%
Other values (39) 5478
27.9%
Common
ValueCountFrequency (%)
3537
58.4%
* 550
 
9.1%
4 302
 
5.0%
, 230
 
3.8%
2 201
 
3.3%
3 181
 
3.0%
1 178
 
2.9%
- 169
 
2.8%
5 100
 
1.7%
/ 96
 
1.6%
Other values (16) 509
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25697
99.9%
None 22
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3537
13.8%
e 2123
 
8.3%
o 1832
 
7.1%
i 1629
 
6.3%
n 1614
 
6.3%
t 1433
 
5.6%
a 1376
 
5.4%
s 1337
 
5.2%
r 1219
 
4.7%
d 870
 
3.4%
Other values (64) 8727
34.0%
None
ValueCountFrequency (%)
ø 22
100.0%

Violation Points - 17
Categorical

MISSING 

Distinct3
Distinct (%)0.5%
Missing77850
Missing (%)99.3%
Memory size612.6 KiB
1.0
312 
2.0
127 
3.0
111 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1650
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 312
 
0.4%
2.0 127
 
0.2%
3.0 111
 
0.1%
(Missing) 77850
99.3%

Length

2024-02-21T21:13:16.506486image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:16.607521image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 312
56.7%
2.0 127
23.1%
3.0 111
 
20.2%

Most occurring characters

ValueCountFrequency (%)
. 550
33.3%
0 550
33.3%
1 312
18.9%
2 127
 
7.7%
3 111
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1100
66.7%
Other Punctuation 550
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 550
50.0%
1 312
28.4%
2 127
 
11.5%
3 111
 
10.1%
Other Punctuation
ValueCountFrequency (%)
. 550
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1650
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 550
33.3%
0 550
33.3%
1 312
18.9%
2 127
 
7.7%
3 111
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 550
33.3%
0 550
33.3%
1 312
18.9%
2 127
 
7.7%
3 111
 
6.7%

Violation Detail - 17
Text

MISSING 

Distinct176
Distinct (%)32.7%
Missing77862
Missing (%)99.3%
Memory size612.6 KiB
2024-02-21T21:13:17.021112image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length829
Median length507
Mean length367.66914
Min length127

Characters and Unicode

Total characters197806
Distinct characters72
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)17.3%

Sample

1st row228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.
2nd row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
3rd rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
4th row228.147 Water, Plumbing, and Waste. Plumbing, numbers and capacities. (a) Handwashing facilities. (1) Except as specified in paragraphs (2) and (3) of this subsection, at least one handwashing lavatory, a number of handwashing lavatories necessary for their convenient use by employees in areas specified in õ228.148 of this title, and not fewer than the number of handwashing lavatories required by the Plumbing Code shall be provided.
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
ValueCountFrequency (%)
and 1487
 
5.4%
food 1212
 
4.4%
the 896
 
3.3%
of 861
 
3.1%
a 752
 
2.7%
shall 634
 
2.3%
in 620
 
2.3%
be 558
 
2.0%
or 504
 
1.8%
equipment 420
 
1.5%
Other values (1368) 19505
71.1%
2024-02-21T21:13:17.442010image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39869
20.2%
e 16880
 
8.5%
i 11731
 
5.9%
a 11723
 
5.9%
n 11451
 
5.8%
o 10953
 
5.5%
t 10895
 
5.5%
s 10573
 
5.3%
r 7926
 
4.0%
d 6639
 
3.4%
Other values (62) 59166
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 139486
70.5%
Space Separator 39869
 
20.2%
Other Punctuation 5586
 
2.8%
Decimal Number 4628
 
2.3%
Uppercase Letter 4454
 
2.3%
Close Punctuation 1595
 
0.8%
Open Punctuation 1586
 
0.8%
Dash Punctuation 601
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 16880
12.1%
i 11731
 
8.4%
a 11723
 
8.4%
n 11451
 
8.2%
o 10953
 
7.9%
t 10895
 
7.8%
s 10573
 
7.6%
r 7926
 
5.7%
d 6639
 
4.8%
l 6166
 
4.4%
Other values (17) 34549
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 584
13.1%
P 510
11.5%
E 455
10.2%
C 401
9.0%
T 341
 
7.7%
A 298
 
6.7%
S 285
 
6.4%
R 258
 
5.8%
L 199
 
4.5%
U 178
 
4.0%
Other values (13) 945
21.2%
Decimal Number
ValueCountFrequency (%)
2 1623
35.1%
1 920
19.9%
8 723
15.6%
6 260
 
5.6%
7 250
 
5.4%
5 249
 
5.4%
4 221
 
4.8%
3 210
 
4.5%
0 113
 
2.4%
9 59
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 2537
45.4%
, 2479
44.4%
: 254
 
4.5%
; 241
 
4.3%
/ 48
 
0.9%
' 18
 
0.3%
# 9
 
0.2%
Space Separator
ValueCountFrequency (%)
39869
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1595
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1586
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 601
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 143940
72.8%
Common 53866
 
27.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 16880
11.7%
i 11731
 
8.1%
a 11723
 
8.1%
n 11451
 
8.0%
o 10953
 
7.6%
t 10895
 
7.6%
s 10573
 
7.3%
r 7926
 
5.5%
d 6639
 
4.6%
l 6166
 
4.3%
Other values (40) 39003
27.1%
Common
ValueCountFrequency (%)
39869
74.0%
. 2537
 
4.7%
, 2479
 
4.6%
2 1623
 
3.0%
) 1595
 
3.0%
( 1586
 
2.9%
1 920
 
1.7%
8 723
 
1.3%
- 601
 
1.1%
6 260
 
0.5%
Other values (12) 1673
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 197695
99.9%
None 111
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39869
20.2%
e 16880
 
8.5%
i 11731
 
5.9%
a 11723
 
5.9%
n 11451
 
5.8%
o 10953
 
5.5%
t 10895
 
5.5%
s 10573
 
5.3%
r 7926
 
4.0%
d 6639
 
3.4%
Other values (61) 59055
29.9%
None
ValueCountFrequency (%)
õ 111
100.0%

Violation Memo - 17
Text

MISSING 

Distinct424
Distinct (%)94.9%
Missing77953
Missing (%)99.4%
Memory size612.6 KiB
2024-02-21T21:13:17.700770image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length225
Median length102
Mean length45.234899
Min length2

Characters and Unicode

Total characters20220
Distinct characters75
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique412 ?
Unique (%)92.2%

Sample

1st rowLabel food with common name.
2nd rowNo RFSM on duty during inspection (expired 1/22/19)
3rd rowno faucet for handwash Sink@ bar
4th rowRepair wall near grill where edge is detached. Re-caulk around 3-comp sink.
5th rowrepair leaking faucet at hand sink and re-attach hand sinks
ValueCountFrequency (%)
in 85
 
2.5%
food 78
 
2.3%
on 65
 
1.9%
all 64
 
1.9%
and 62
 
1.8%
clean 50
 
1.5%
sink 49
 
1.5%
provide 47
 
1.4%
be 42
 
1.2%
at 42
 
1.2%
Other values (821) 2790
82.7%
2024-02-21T21:13:18.118348image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3035
 
15.0%
e 1509
 
7.5%
o 1203
 
5.9%
n 1069
 
5.3%
a 1040
 
5.1%
i 1026
 
5.1%
s 957
 
4.7%
r 937
 
4.6%
t 883
 
4.4%
l 666
 
3.3%
Other values (65) 7895
39.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13258
65.6%
Uppercase Letter 3448
 
17.1%
Space Separator 3035
 
15.0%
Other Punctuation 237
 
1.2%
Decimal Number 164
 
0.8%
Close Punctuation 29
 
0.1%
Open Punctuation 27
 
0.1%
Dash Punctuation 21
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1509
11.4%
o 1203
 
9.1%
n 1069
 
8.1%
a 1040
 
7.8%
i 1026
 
7.7%
s 957
 
7.2%
r 937
 
7.1%
t 883
 
6.7%
l 666
 
5.0%
d 624
 
4.7%
Other values (16) 3344
25.2%
Uppercase Letter
ValueCountFrequency (%)
E 358
 
10.4%
O 326
 
9.5%
R 273
 
7.9%
I 259
 
7.5%
N 242
 
7.0%
A 236
 
6.8%
S 220
 
6.4%
T 210
 
6.1%
L 203
 
5.9%
D 172
 
5.0%
Other values (15) 949
27.5%
Decimal Number
ValueCountFrequency (%)
1 37
22.6%
3 28
17.1%
0 24
14.6%
2 18
11.0%
7 17
10.4%
5 11
 
6.7%
6 11
 
6.7%
4 8
 
4.9%
9 7
 
4.3%
8 3
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 105
44.3%
, 82
34.6%
/ 15
 
6.3%
& 13
 
5.5%
* 7
 
3.0%
' 7
 
3.0%
: 4
 
1.7%
@ 3
 
1.3%
; 1
 
0.4%
Space Separator
ValueCountFrequency (%)
3035
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Math Symbol
ValueCountFrequency (%)
< 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16706
82.6%
Common 3514
 
17.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1509
 
9.0%
o 1203
 
7.2%
n 1069
 
6.4%
a 1040
 
6.2%
i 1026
 
6.1%
s 957
 
5.7%
r 937
 
5.6%
t 883
 
5.3%
l 666
 
4.0%
d 624
 
3.7%
Other values (41) 6792
40.7%
Common
ValueCountFrequency (%)
3035
86.4%
. 105
 
3.0%
, 82
 
2.3%
1 37
 
1.1%
) 29
 
0.8%
3 28
 
0.8%
( 27
 
0.8%
0 24
 
0.7%
- 21
 
0.6%
2 18
 
0.5%
Other values (14) 108
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3035
 
15.0%
e 1509
 
7.5%
o 1203
 
5.9%
n 1069
 
5.3%
a 1040
 
5.1%
i 1026
 
5.1%
s 957
 
4.7%
r 937
 
4.6%
t 883
 
4.4%
l 666
 
3.3%
Other values (65) 7895
39.0%
Distinct136
Distinct (%)38.7%
Missing78049
Missing (%)99.6%
Memory size612.6 KiB
2024-02-21T21:13:18.316594image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length66
Mean length46.982906
Min length13

Characters and Unicode

Total characters16491
Distinct characters71
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)22.8%

Sample

1st row*33 Warewashing sinks and drain boards, self-draining.
2nd row*42 Dirty nonfood contact surfaces
3rd row*10 Clean Sight and Touch
4th row*47 Other Violations
5th row*06 Discard if TCS is in container w/ no date or day
ValueCountFrequency (%)
food 93
 
3.6%
in 61
 
2.4%
58
 
2.2%
or 40
 
1.5%
for 34
 
1.3%
45 31
 
1.2%
be 31
 
1.2%
and 30
 
1.2%
shall 29
 
1.1%
light 27
 
1.0%
Other values (466) 2149
83.2%
2024-02-21T21:13:18.667978image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2277
13.8%
e 1364
 
8.3%
o 1137
 
6.9%
i 1025
 
6.2%
n 1003
 
6.1%
s 915
 
5.5%
t 907
 
5.5%
a 872
 
5.3%
r 762
 
4.6%
d 560
 
3.4%
Other values (61) 5669
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11928
72.3%
Space Separator 2277
 
13.8%
Decimal Number 846
 
5.1%
Uppercase Letter 660
 
4.0%
Other Punctuation 633
 
3.8%
Dash Punctuation 109
 
0.7%
Open Punctuation 16
 
0.1%
Close Punctuation 16
 
0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1364
11.4%
o 1137
 
9.5%
i 1025
 
8.6%
n 1003
 
8.4%
s 915
 
7.7%
t 907
 
7.6%
a 872
 
7.3%
r 762
 
6.4%
d 560
 
4.7%
l 515
 
4.3%
Other values (18) 2868
24.0%
Uppercase Letter
ValueCountFrequency (%)
F 93
14.1%
C 89
13.5%
T 55
 
8.3%
S 52
 
7.9%
H 44
 
6.7%
P 38
 
5.8%
D 37
 
5.6%
E 36
 
5.5%
R 32
 
4.8%
O 32
 
4.8%
Other values (9) 152
23.0%
Decimal Number
ValueCountFrequency (%)
4 202
23.9%
3 130
15.4%
2 123
14.5%
1 111
13.1%
5 82
9.7%
0 57
 
6.7%
7 42
 
5.0%
6 39
 
4.6%
9 38
 
4.5%
8 22
 
2.6%
Other Punctuation
ValueCountFrequency (%)
* 351
55.5%
, 155
24.5%
/ 54
 
8.5%
. 34
 
5.4%
: 18
 
2.8%
& 13
 
2.1%
' 7
 
1.1%
; 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
> 5
83.3%
= 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2277
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12588
76.3%
Common 3903
 
23.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1364
 
10.8%
o 1137
 
9.0%
i 1025
 
8.1%
n 1003
 
8.0%
s 915
 
7.3%
t 907
 
7.2%
a 872
 
6.9%
r 762
 
6.1%
d 560
 
4.4%
l 515
 
4.1%
Other values (37) 3528
28.0%
Common
ValueCountFrequency (%)
2277
58.3%
* 351
 
9.0%
4 202
 
5.2%
, 155
 
4.0%
3 130
 
3.3%
2 123
 
3.2%
1 111
 
2.8%
- 109
 
2.8%
5 82
 
2.1%
0 57
 
1.5%
Other values (14) 306
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16469
99.9%
None 22
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2277
13.8%
e 1364
 
8.3%
o 1137
 
6.9%
i 1025
 
6.2%
n 1003
 
6.1%
s 915
 
5.6%
t 907
 
5.5%
a 872
 
5.3%
r 762
 
4.6%
d 560
 
3.4%
Other values (59) 5647
34.3%
None
ValueCountFrequency (%)
ø 21
95.5%
õ 1
 
4.5%

Violation Points - 18
Categorical

MISSING 

Distinct3
Distinct (%)0.9%
Missing78049
Missing (%)99.6%
Memory size612.6 KiB
1.0
194 
2.0
82 
3.0
75 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1053
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row3.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 194
 
0.2%
2.0 82
 
0.1%
3.0 75
 
0.1%
(Missing) 78049
99.6%

Length

2024-02-21T21:13:18.810307image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:18.920524image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 194
55.3%
2.0 82
23.4%
3.0 75
 
21.4%

Most occurring characters

ValueCountFrequency (%)
. 351
33.3%
0 351
33.3%
1 194
18.4%
2 82
 
7.8%
3 75
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 702
66.7%
Other Punctuation 351
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 351
50.0%
1 194
27.6%
2 82
 
11.7%
3 75
 
10.7%
Other Punctuation
ValueCountFrequency (%)
. 351
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1053
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 351
33.3%
0 351
33.3%
1 194
18.4%
2 82
 
7.8%
3 75
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1053
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 351
33.3%
0 351
33.3%
1 194
18.4%
2 82
 
7.8%
3 75
 
7.1%

Violation Detail - 18
Text

MISSING 

Distinct137
Distinct (%)39.9%
Missing78057
Missing (%)99.6%
Memory size612.6 KiB
2024-02-21T21:13:19.153911image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length829
Median length475
Mean length354.53936
Min length125

Characters and Unicode

Total characters121607
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)23.9%

Sample

1st row228.106 Equipment, Utensils, and Linens. Functionality of equipment. (s) Warewashing sinks and drain boards, self-draining. Sinks and drain boards of warewashing sinks and machines shall be self-draining.
2nd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
4th row228.75 Food. Time and temperature control. (h) Ready-to-eat, TCS food, disposition. (1) A food specified in subsection (g)(1) or (2) of this section shall be discarded if it: (B) is in a container or package that does not bear a date or day; or
5th row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; and
ValueCountFrequency (%)
and 975
 
5.8%
food 651
 
3.9%
of 513
 
3.1%
a 455
 
2.7%
the 439
 
2.6%
shall 378
 
2.3%
in 366
 
2.2%
be 331
 
2.0%
or 310
 
1.9%
equipment 290
 
1.7%
Other values (1127) 11966
71.8%
2024-02-21T21:13:19.603242image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24867
20.4%
e 10372
 
8.5%
i 7283
 
6.0%
a 7261
 
6.0%
n 7114
 
5.8%
s 6687
 
5.5%
t 6551
 
5.4%
o 6366
 
5.2%
r 4746
 
3.9%
d 3999
 
3.3%
Other values (59) 36361
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 85040
69.9%
Space Separator 24867
 
20.4%
Other Punctuation 3666
 
3.0%
Decimal Number 2996
 
2.5%
Uppercase Letter 2685
 
2.2%
Close Punctuation 1003
 
0.8%
Open Punctuation 996
 
0.8%
Dash Punctuation 354
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 10372
12.2%
i 7283
 
8.6%
a 7261
 
8.5%
n 7114
 
8.4%
s 6687
 
7.9%
t 6551
 
7.7%
o 6366
 
7.5%
r 4746
 
5.6%
d 3999
 
4.7%
l 3827
 
4.5%
Other values (17) 20834
24.5%
Uppercase Letter
ValueCountFrequency (%)
F 386
14.4%
P 335
12.5%
C 265
9.9%
E 254
9.5%
T 177
 
6.6%
A 165
 
6.1%
S 154
 
5.7%
R 150
 
5.6%
L 147
 
5.5%
U 115
 
4.3%
Other values (11) 537
20.0%
Decimal Number
ValueCountFrequency (%)
2 1042
34.8%
1 603
20.1%
8 477
15.9%
7 158
 
5.3%
5 156
 
5.2%
4 153
 
5.1%
6 149
 
5.0%
3 131
 
4.4%
0 83
 
2.8%
9 44
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 1670
45.6%
. 1616
44.1%
; 174
 
4.7%
: 164
 
4.5%
/ 29
 
0.8%
# 7
 
0.2%
' 6
 
0.2%
Space Separator
ValueCountFrequency (%)
24867
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1003
100.0%
Open Punctuation
ValueCountFrequency (%)
( 996
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 354
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 87725
72.1%
Common 33882
 
27.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 10372
11.8%
i 7283
 
8.3%
a 7261
 
8.3%
n 7114
 
8.1%
s 6687
 
7.6%
t 6551
 
7.5%
o 6366
 
7.3%
r 4746
 
5.4%
d 3999
 
4.6%
l 3827
 
4.4%
Other values (38) 23519
26.8%
Common
ValueCountFrequency (%)
24867
73.4%
, 1670
 
4.9%
. 1616
 
4.8%
2 1042
 
3.1%
) 1003
 
3.0%
( 996
 
2.9%
1 603
 
1.8%
8 477
 
1.4%
- 354
 
1.0%
; 174
 
0.5%
Other values (11) 1080
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 121537
99.9%
None 70
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24867
20.5%
e 10372
 
8.5%
i 7283
 
6.0%
a 7261
 
6.0%
n 7114
 
5.9%
s 6687
 
5.5%
t 6551
 
5.4%
o 6366
 
5.2%
r 4746
 
3.9%
d 3999
 
3.3%
Other values (58) 36291
29.9%
None
ValueCountFrequency (%)
õ 70
100.0%

Violation Memo - 18
Text

MISSING 

Distinct280
Distinct (%)96.9%
Missing78111
Missing (%)99.6%
Memory size612.6 KiB
2024-02-21T21:13:19.852460image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length230
Median length92
Mean length48.134948
Min length4

Characters and Unicode

Total characters13911
Distinct characters78
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique273 ?
Unique (%)94.5%

Sample

1st rowDeep cleaning needed. Observed dirty fan in WIC, dirty shelves, vent hood.
2nd rowclean can opener ice machine incredibly slimy soda gun and holster very slimy
3rd rowMake sign: "Most recent inspection report available upon request.
4th rowno date marking on prepared food items
5th rowobserved employees donning gloves without washing hands
ValueCountFrequency (%)
in 57
 
2.5%
on 51
 
2.2%
and 45
 
1.9%
food 45
 
1.9%
all 37
 
1.6%
at 36
 
1.6%
hand 32
 
1.4%
of 31
 
1.3%
clean 31
 
1.3%
be 30
 
1.3%
Other values (684) 1917
82.9%
2024-02-21T21:13:20.262127image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2111
15.2%
e 1121
 
8.1%
o 828
 
6.0%
n 778
 
5.6%
a 746
 
5.4%
i 738
 
5.3%
t 724
 
5.2%
s 689
 
5.0%
r 633
 
4.6%
l 466
 
3.3%
Other values (68) 5077
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9473
68.1%
Space Separator 2111
 
15.2%
Uppercase Letter 2007
 
14.4%
Other Punctuation 156
 
1.1%
Decimal Number 134
 
1.0%
Dash Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%
Open Punctuation 8
 
0.1%
Math Symbol 2
 
< 0.1%
Initial Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1121
11.8%
o 828
 
8.7%
n 778
 
8.2%
a 746
 
7.9%
i 738
 
7.8%
t 724
 
7.6%
s 689
 
7.3%
r 633
 
6.7%
l 466
 
4.9%
d 447
 
4.7%
Other values (16) 2303
24.3%
Uppercase Letter
ValueCountFrequency (%)
E 201
 
10.0%
R 168
 
8.4%
O 163
 
8.1%
A 150
 
7.5%
I 143
 
7.1%
T 141
 
7.0%
S 140
 
7.0%
N 139
 
6.9%
C 107
 
5.3%
D 95
 
4.7%
Other values (14) 560
27.9%
Other Punctuation
ValueCountFrequency (%)
. 83
53.2%
, 38
24.4%
/ 9
 
5.8%
* 8
 
5.1%
" 6
 
3.8%
& 5
 
3.2%
! 3
 
1.9%
: 2
 
1.3%
@ 1
 
0.6%
' 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 26
19.4%
1 16
11.9%
6 16
11.9%
4 16
11.9%
3 13
9.7%
5 12
9.0%
2 11
8.2%
8 10
 
7.5%
7 7
 
5.2%
9 7
 
5.2%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
2111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11480
82.5%
Common 2431
 
17.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1121
 
9.8%
o 828
 
7.2%
n 778
 
6.8%
a 746
 
6.5%
i 738
 
6.4%
t 724
 
6.3%
s 689
 
6.0%
r 633
 
5.5%
l 466
 
4.1%
d 447
 
3.9%
Other values (40) 4310
37.5%
Common
ValueCountFrequency (%)
2111
86.8%
. 83
 
3.4%
, 38
 
1.6%
0 26
 
1.1%
1 16
 
0.7%
6 16
 
0.7%
4 16
 
0.7%
3 13
 
0.5%
5 12
 
0.5%
2 11
 
0.5%
Other values (18) 89
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13910
> 99.9%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2111
15.2%
e 1121
 
8.1%
o 828
 
6.0%
n 778
 
5.6%
a 746
 
5.4%
i 738
 
5.3%
t 724
 
5.2%
s 689
 
5.0%
r 633
 
4.6%
l 466
 
3.4%
Other values (67) 5076
36.5%
Punctuation
ValueCountFrequency (%)
1
100.0%
Distinct94
Distinct (%)45.4%
Missing78193
Missing (%)99.7%
Memory size612.6 KiB
2024-02-21T21:13:20.501157image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length80
Mean length45.657005
Min length20

Characters and Unicode

Total characters9451
Distinct characters73
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)24.2%

Sample

1st row*45 Premises shall be maintained in good repair
2nd row*20 Grease Trap Tickets
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*10 Equipment and Utensils Cleaning-contamination
5th row*38 Thawing. under running water criteria - < 4 hours
ValueCountFrequency (%)
food 66
 
4.5%
in 35
 
2.4%
31
 
2.1%
of 22
 
1.5%
or 21
 
1.4%
and 19
 
1.3%
equipment 19
 
1.3%
for 18
 
1.2%
cross 17
 
1.2%
45 17
 
1.2%
Other values (358) 1200
81.9%
2024-02-21T21:13:20.919750image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1283
13.6%
e 753
 
8.0%
o 703
 
7.4%
i 575
 
6.1%
n 567
 
6.0%
a 541
 
5.7%
t 531
 
5.6%
s 507
 
5.4%
r 448
 
4.7%
d 338
 
3.6%
Other values (63) 3205
33.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6868
72.7%
Space Separator 1283
 
13.6%
Decimal Number 499
 
5.3%
Uppercase Letter 369
 
3.9%
Other Punctuation 351
 
3.7%
Dash Punctuation 56
 
0.6%
Open Punctuation 11
 
0.1%
Close Punctuation 11
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 753
11.0%
o 703
10.2%
i 575
 
8.4%
n 567
 
8.3%
a 541
 
7.9%
t 531
 
7.7%
s 507
 
7.4%
r 448
 
6.5%
d 338
 
4.9%
l 288
 
4.2%
Other values (17) 1617
23.5%
Uppercase Letter
ValueCountFrequency (%)
F 77
20.9%
C 50
13.6%
T 36
9.8%
P 32
8.7%
S 26
 
7.0%
H 22
 
6.0%
E 15
 
4.1%
D 15
 
4.1%
O 13
 
3.5%
L 12
 
3.3%
Other values (12) 71
19.2%
Decimal Number
ValueCountFrequency (%)
4 128
25.7%
3 84
16.8%
2 61
12.2%
1 58
11.6%
0 50
 
10.0%
5 41
 
8.2%
7 23
 
4.6%
6 22
 
4.4%
9 22
 
4.4%
8 10
 
2.0%
Other Punctuation
ValueCountFrequency (%)
* 207
59.0%
, 55
 
15.7%
/ 48
 
13.7%
. 17
 
4.8%
: 13
 
3.7%
' 6
 
1.7%
& 4
 
1.1%
? 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
> 2
66.7%
< 1
33.3%
Space Separator
ValueCountFrequency (%)
1283
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7237
76.6%
Common 2214
 
23.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 753
 
10.4%
o 703
 
9.7%
i 575
 
7.9%
n 567
 
7.8%
a 541
 
7.5%
t 531
 
7.3%
s 507
 
7.0%
r 448
 
6.2%
d 338
 
4.7%
l 288
 
4.0%
Other values (39) 1986
27.4%
Common
ValueCountFrequency (%)
1283
57.9%
* 207
 
9.3%
4 128
 
5.8%
3 84
 
3.8%
2 61
 
2.8%
1 58
 
2.6%
- 56
 
2.5%
, 55
 
2.5%
0 50
 
2.3%
/ 48
 
2.2%
Other values (14) 184
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9432
99.8%
None 19
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1283
13.6%
e 753
 
8.0%
o 703
 
7.5%
i 575
 
6.1%
n 567
 
6.0%
a 541
 
5.7%
t 531
 
5.6%
s 507
 
5.4%
r 448
 
4.7%
d 338
 
3.6%
Other values (62) 3186
33.8%
None
ValueCountFrequency (%)
ø 19
100.0%

Violation Points - 19
Categorical

MISSING 

Distinct3
Distinct (%)1.4%
Missing78193
Missing (%)99.7%
Memory size612.6 KiB
1.0
121 
3.0
51 
2.0
35 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters621
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 121
 
0.2%
3.0 51
 
0.1%
2.0 35
 
< 0.1%
(Missing) 78193
99.7%

Length

2024-02-21T21:13:21.056709image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:21.160566image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 121
58.5%
3.0 51
24.6%
2.0 35
 
16.9%

Most occurring characters

ValueCountFrequency (%)
. 207
33.3%
0 207
33.3%
1 121
19.5%
3 51
 
8.2%
2 35
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 414
66.7%
Other Punctuation 207
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 207
50.0%
1 121
29.2%
3 51
 
12.3%
2 35
 
8.5%
Other Punctuation
ValueCountFrequency (%)
. 207
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 621
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 207
33.3%
0 207
33.3%
1 121
19.5%
3 51
 
8.2%
2 35
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 621
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 207
33.3%
0 207
33.3%
1 121
19.5%
3 51
 
8.2%
2 35
 
5.6%

Violation Detail - 19
Text

MISSING 

Distinct93
Distinct (%)45.6%
Missing78196
Missing (%)99.7%
Memory size612.6 KiB
2024-02-21T21:13:21.370365image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length815
Median length456
Mean length350.64706
Min length127

Characters and Unicode

Total characters71532
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)24.5%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
2nd rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be cleaned: (E) at any time during the operation when contamination may have occurred.
5th row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (D) for a period of time that does not allow thawed portions of a raw animal food requiring cooking as specified in õ228.71(a)(1) or (2) of this title to be above 5 degrees Celsius (41 degrees Fahrenheit) for more than four hours including
ValueCountFrequency (%)
and 542
 
5.5%
food 363
 
3.7%
of 315
 
3.2%
a 287
 
2.9%
the 279
 
2.8%
shall 225
 
2.3%
be 196
 
2.0%
in 179
 
1.8%
or 171
 
1.7%
equipment 171
 
1.7%
Other values (920) 7082
72.2%
2024-02-21T21:13:21.776947image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14942
20.9%
e 5975
 
8.4%
a 4245
 
5.9%
i 4164
 
5.8%
n 4022
 
5.6%
s 3938
 
5.5%
t 3894
 
5.4%
o 3846
 
5.4%
r 2875
 
4.0%
d 2311
 
3.2%
Other values (61) 21320
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 49927
69.8%
Space Separator 14942
 
20.9%
Other Punctuation 2111
 
3.0%
Decimal Number 1643
 
2.3%
Uppercase Letter 1563
 
2.2%
Close Punctuation 574
 
0.8%
Open Punctuation 565
 
0.8%
Dash Punctuation 207
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5975
12.0%
a 4245
 
8.5%
i 4164
 
8.3%
n 4022
 
8.1%
s 3938
 
7.9%
t 3894
 
7.8%
o 3846
 
7.7%
r 2875
 
5.8%
d 2311
 
4.6%
l 2225
 
4.5%
Other values (17) 12432
24.9%
Uppercase Letter
ValueCountFrequency (%)
F 229
14.7%
P 180
11.5%
E 159
10.2%
C 138
8.8%
T 113
 
7.2%
A 102
 
6.5%
R 93
 
6.0%
S 90
 
5.8%
L 84
 
5.4%
U 66
 
4.2%
Other values (13) 309
19.8%
Decimal Number
ValueCountFrequency (%)
2 556
33.8%
1 356
21.7%
8 245
14.9%
5 105
 
6.4%
7 94
 
5.7%
6 89
 
5.4%
3 70
 
4.3%
4 66
 
4.0%
0 34
 
2.1%
9 28
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 963
45.6%
. 954
45.2%
: 90
 
4.3%
; 78
 
3.7%
/ 14
 
0.7%
# 10
 
0.5%
' 2
 
0.1%
Space Separator
ValueCountFrequency (%)
14942
100.0%
Close Punctuation
ValueCountFrequency (%)
) 574
100.0%
Open Punctuation
ValueCountFrequency (%)
( 565
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 207
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 51490
72.0%
Common 20042
 
28.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5975
11.6%
a 4245
 
8.2%
i 4164
 
8.1%
n 4022
 
7.8%
s 3938
 
7.6%
t 3894
 
7.6%
o 3846
 
7.5%
r 2875
 
5.6%
d 2311
 
4.5%
l 2225
 
4.3%
Other values (40) 13995
27.2%
Common
ValueCountFrequency (%)
14942
74.6%
, 963
 
4.8%
. 954
 
4.8%
) 574
 
2.9%
( 565
 
2.8%
2 556
 
2.8%
1 356
 
1.8%
8 245
 
1.2%
- 207
 
1.0%
5 105
 
0.5%
Other values (11) 575
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71507
> 99.9%
None 25
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14942
20.9%
e 5975
 
8.4%
a 4245
 
5.9%
i 4164
 
5.8%
n 4022
 
5.6%
s 3938
 
5.5%
t 3894
 
5.4%
o 3846
 
5.4%
r 2875
 
4.0%
d 2311
 
3.2%
Other values (60) 21295
29.8%
None
ValueCountFrequency (%)
õ 25
100.0%

Violation Memo - 19
Text

MISSING 

Distinct163
Distinct (%)97.0%
Missing78232
Missing (%)99.8%
Memory size612.6 KiB
2024-02-21T21:13:22.011407image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length245
Median length83
Mean length48.994048
Min length9

Characters and Unicode

Total characters8231
Distinct characters72
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)95.2%

Sample

1st rowRepair tiles in floor, repair/replace fan cover in WIC.
2nd rowProvide current grease trap records
3rd rowdeep clean floors ( behind and under equipment ), remove build- up from vent hood system, clean walls by hand and prep sink, & remove dust from ceiling over prep area
4th rowcooler units in all areas dirty with food debris, spills, blood and soils accumulations must be clean to avoid cross contamination
5th rownot properly thawing procedures must be thawing food in an clean and running water
ValueCountFrequency (%)
food 37
 
2.7%
all 33
 
2.4%
and 32
 
2.3%
in 31
 
2.2%
clean 28
 
2.0%
to 27
 
2.0%
on 20
 
1.5%
must 19
 
1.4%
be 17
 
1.2%
not 16
 
1.2%
Other values (479) 1118
81.1%
2024-02-21T21:13:22.415683image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1277
15.5%
e 676
 
8.2%
o 563
 
6.8%
r 447
 
5.4%
a 444
 
5.4%
n 428
 
5.2%
s 422
 
5.1%
t 402
 
4.9%
i 387
 
4.7%
d 293
 
3.6%
Other values (62) 2892
35.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5729
69.6%
Space Separator 1277
 
15.5%
Uppercase Letter 1032
 
12.5%
Other Punctuation 105
 
1.3%
Decimal Number 57
 
0.7%
Open Punctuation 12
 
0.1%
Close Punctuation 11
 
0.1%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 676
11.8%
o 563
9.8%
r 447
 
7.8%
a 444
 
7.8%
n 428
 
7.5%
s 422
 
7.4%
t 402
 
7.0%
i 387
 
6.8%
d 293
 
5.1%
l 275
 
4.8%
Other values (16) 1392
24.3%
Uppercase Letter
ValueCountFrequency (%)
E 112
10.9%
O 87
 
8.4%
A 82
 
7.9%
N 79
 
7.7%
R 78
 
7.6%
L 75
 
7.3%
T 70
 
6.8%
S 65
 
6.3%
I 57
 
5.5%
C 56
 
5.4%
Other values (14) 271
26.3%
Decimal Number
ValueCountFrequency (%)
5 10
17.5%
1 9
15.8%
6 7
12.3%
4 7
12.3%
3 6
10.5%
2 5
8.8%
8 5
8.8%
0 4
 
7.0%
9 3
 
5.3%
7 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 53
50.5%
, 30
28.6%
/ 8
 
7.6%
' 6
 
5.7%
: 3
 
2.9%
& 3
 
2.9%
@ 1
 
1.0%
* 1
 
1.0%
Space Separator
ValueCountFrequency (%)
1277
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6761
82.1%
Common 1470
 
17.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 676
 
10.0%
o 563
 
8.3%
r 447
 
6.6%
a 444
 
6.6%
n 428
 
6.3%
s 422
 
6.2%
t 402
 
5.9%
i 387
 
5.7%
d 293
 
4.3%
l 275
 
4.1%
Other values (40) 2424
35.9%
Common
ValueCountFrequency (%)
1277
86.9%
. 53
 
3.6%
, 30
 
2.0%
( 12
 
0.8%
) 11
 
0.7%
5 10
 
0.7%
1 9
 
0.6%
/ 8
 
0.5%
- 8
 
0.5%
6 7
 
0.5%
Other values (12) 45
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1277
15.5%
e 676
 
8.2%
o 563
 
6.8%
r 447
 
5.4%
a 444
 
5.4%
n 428
 
5.2%
s 422
 
5.1%
t 402
 
4.9%
i 387
 
4.7%
d 293
 
3.6%
Other values (62) 2892
35.1%
Distinct69
Distinct (%)52.7%
Missing78269
Missing (%)99.8%
Memory size612.6 KiB
2024-02-21T21:13:22.586781image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length66
Mean length45.977099
Min length20

Characters and Unicode

Total characters6023
Distinct characters69
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)31.3%

Sample

1st row*32 Damaged Equipment
2nd row*29 Sanitizing solutions, testing devices
3rd row*10 Equipment and Utensils Sanitization
4th row*42 Floors/walls/ceiling/nonfood dirty
5th row*37 Unpackaged food may not be stored in direct contact with undrained ice
ValueCountFrequency (%)
food 40
 
4.3%
in 23
 
2.5%
47 17
 
1.8%
16
 
1.7%
be 15
 
1.6%
of 14
 
1.5%
45 13
 
1.4%
good 13
 
1.4%
or 13
 
1.4%
and 13
 
1.4%
Other values (316) 761
81.1%
2024-02-21T21:13:22.936610image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
828
13.7%
e 501
 
8.3%
o 453
 
7.5%
i 375
 
6.2%
n 374
 
6.2%
s 331
 
5.5%
t 330
 
5.5%
a 329
 
5.5%
r 285
 
4.7%
d 232
 
3.9%
Other values (59) 1985
33.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4381
72.7%
Space Separator 828
 
13.7%
Decimal Number 301
 
5.0%
Uppercase Letter 242
 
4.0%
Other Punctuation 225
 
3.7%
Dash Punctuation 35
 
0.6%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 501
11.4%
o 453
10.3%
i 375
 
8.6%
n 374
 
8.5%
s 331
 
7.6%
t 330
 
7.5%
a 329
 
7.5%
r 285
 
6.5%
d 232
 
5.3%
c 163
 
3.7%
Other values (17) 1008
23.0%
Uppercase Letter
ValueCountFrequency (%)
F 36
14.9%
T 26
10.7%
C 25
10.3%
P 21
 
8.7%
S 19
 
7.9%
H 16
 
6.6%
O 14
 
5.8%
E 10
 
4.1%
G 9
 
3.7%
R 9
 
3.7%
Other values (10) 57
23.6%
Decimal Number
ValueCountFrequency (%)
4 78
25.9%
3 45
15.0%
2 40
13.3%
1 32
10.6%
0 28
 
9.3%
7 26
 
8.6%
5 24
 
8.0%
9 12
 
4.0%
6 10
 
3.3%
8 6
 
2.0%
Other Punctuation
ValueCountFrequency (%)
* 131
58.2%
, 48
 
21.3%
/ 28
 
12.4%
: 9
 
4.0%
. 5
 
2.2%
' 2
 
0.9%
& 2
 
0.9%
Space Separator
ValueCountFrequency (%)
828
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4623
76.8%
Common 1400
 
23.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 501
10.8%
o 453
 
9.8%
i 375
 
8.1%
n 374
 
8.1%
s 331
 
7.2%
t 330
 
7.1%
a 329
 
7.1%
r 285
 
6.2%
d 232
 
5.0%
c 163
 
3.5%
Other values (37) 1250
27.0%
Common
ValueCountFrequency (%)
828
59.1%
* 131
 
9.4%
4 78
 
5.6%
, 48
 
3.4%
3 45
 
3.2%
2 40
 
2.9%
- 35
 
2.5%
1 32
 
2.3%
/ 28
 
2.0%
0 28
 
2.0%
Other values (12) 107
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6013
99.8%
None 10
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
828
13.8%
e 501
 
8.3%
o 453
 
7.5%
i 375
 
6.2%
n 374
 
6.2%
s 331
 
5.5%
t 330
 
5.5%
a 329
 
5.5%
r 285
 
4.7%
d 232
 
3.9%
Other values (58) 1975
32.8%
None
ValueCountFrequency (%)
ø 10
100.0%

Violation Points - 20
Categorical

MISSING 

Distinct3
Distinct (%)2.3%
Missing78269
Missing (%)99.8%
Memory size612.6 KiB
1.0
75 
3.0
34 
2.0
22 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters393
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row3.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 75
 
0.1%
3.0 34
 
< 0.1%
2.0 22
 
< 0.1%
(Missing) 78269
99.8%

Length

2024-02-21T21:13:23.076277image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:23.176510image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 75
57.3%
3.0 34
26.0%
2.0 22
 
16.8%

Most occurring characters

ValueCountFrequency (%)
. 131
33.3%
0 131
33.3%
1 75
19.1%
3 34
 
8.7%
2 22
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 262
66.7%
Other Punctuation 131
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 131
50.0%
1 75
28.6%
3 34
 
13.0%
2 22
 
8.4%
Other Punctuation
ValueCountFrequency (%)
. 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 393
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 131
33.3%
0 131
33.3%
1 75
19.1%
3 34
 
8.7%
2 22
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 393
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 131
33.3%
0 131
33.3%
1 75
19.1%
3 34
 
8.7%
2 22
 
5.6%

Violation Detail - 20
Text

MISSING 

Distinct68
Distinct (%)54.4%
Missing78275
Missing (%)99.8%
Memory size612.6 KiB
2024-02-21T21:13:23.407438image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length815
Median length434
Mean length338.272
Min length184

Characters and Unicode

Total characters42284
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)32.8%

Sample

1st row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
2nd row228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.
3rd row228.118 Equipment, Utensils, and Linens. Sanitization Methods, Hot Water and Chemicals. After being cleaned, equipment food-contact surfaces and utensils shall be sanitized in: (1) hot water manual operations by immersion for at least 30 seconds and as specified in õ228.111(k) of this title;
4th row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
5th row228.67 Food. Preventing contamination from ice used as a coolant. (b) Storage or display of food in contact with water or ice. (2) Except as specified in paragraphs (3) and (4) of this subsection, unpackaged food may not be stored in direct contact with undrained ice.
ValueCountFrequency (%)
and 323
 
5.6%
food 232
 
4.0%
the 179
 
3.1%
of 174
 
3.0%
a 152
 
2.6%
shall 136
 
2.3%
in 122
 
2.1%
be 118
 
2.0%
or 103
 
1.8%
equipment 89
 
1.5%
Other values (768) 4183
72.0%
2024-02-21T21:13:23.846545image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8739
20.7%
e 3506
 
8.3%
i 2515
 
5.9%
a 2509
 
5.9%
n 2414
 
5.7%
s 2366
 
5.6%
t 2309
 
5.5%
o 2309
 
5.5%
r 1660
 
3.9%
d 1392
 
3.3%
Other values (59) 12565
29.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 29663
70.2%
Space Separator 8739
 
20.7%
Other Punctuation 1276
 
3.0%
Decimal Number 989
 
2.3%
Uppercase Letter 840
 
2.0%
Close Punctuation 334
 
0.8%
Open Punctuation 327
 
0.8%
Dash Punctuation 116
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3506
11.8%
i 2515
 
8.5%
a 2509
 
8.5%
n 2414
 
8.1%
s 2366
 
8.0%
t 2309
 
7.8%
o 2309
 
7.8%
r 1660
 
5.6%
d 1392
 
4.7%
l 1299
 
4.4%
Other values (17) 7384
24.9%
Uppercase Letter
ValueCountFrequency (%)
F 132
15.7%
P 122
14.5%
E 75
8.9%
C 71
8.5%
T 63
 
7.5%
R 51
 
6.1%
S 47
 
5.6%
A 46
 
5.5%
L 40
 
4.8%
U 33
 
3.9%
Other values (11) 160
19.0%
Decimal Number
ValueCountFrequency (%)
2 344
34.8%
1 196
19.8%
8 162
16.4%
6 63
 
6.4%
7 57
 
5.8%
5 48
 
4.9%
4 44
 
4.4%
3 36
 
3.6%
0 23
 
2.3%
9 16
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 583
45.7%
. 573
44.9%
: 54
 
4.2%
; 51
 
4.0%
/ 7
 
0.5%
# 7
 
0.5%
' 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8739
100.0%
Close Punctuation
ValueCountFrequency (%)
) 334
100.0%
Open Punctuation
ValueCountFrequency (%)
( 327
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30503
72.1%
Common 11781
 
27.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3506
11.5%
i 2515
 
8.2%
a 2509
 
8.2%
n 2414
 
7.9%
s 2366
 
7.8%
t 2309
 
7.6%
o 2309
 
7.6%
r 1660
 
5.4%
d 1392
 
4.6%
l 1299
 
4.3%
Other values (38) 8224
27.0%
Common
ValueCountFrequency (%)
8739
74.2%
, 583
 
4.9%
. 573
 
4.9%
2 344
 
2.9%
) 334
 
2.8%
( 327
 
2.8%
1 196
 
1.7%
8 162
 
1.4%
- 116
 
1.0%
6 63
 
0.5%
Other values (11) 344
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42268
> 99.9%
None 16
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8739
20.7%
e 3506
 
8.3%
i 2515
 
6.0%
a 2509
 
5.9%
n 2414
 
5.7%
s 2366
 
5.6%
t 2309
 
5.5%
o 2309
 
5.5%
r 1660
 
3.9%
d 1392
 
3.3%
Other values (58) 12549
29.7%
None
ValueCountFrequency (%)
õ 16
100.0%

Violation Memo - 20
Text

MISSING 

Distinct110
Distinct (%)99.1%
Missing78289
Missing (%)99.9%
Memory size612.6 KiB
2024-02-21T21:13:24.053894image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length247
Median length73
Mean length46.09009
Min length9

Characters and Unicode

Total characters5116
Distinct characters70
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)98.2%

Sample

1st rowreplace damage gaskets
2nd rowmissing sanitizing strips to check chemical concentration must be have sanitizing strips to verified chemical concentration
3rd rowutensils must be sanitize
4th rowCLEAN FRPS, WALLS, FLOORS, FAN VENT COVERS & GASKETS
5th rowLETTUCE STORED IN STANDING WATER
ValueCountFrequency (%)
on 25
 
2.9%
in 20
 
2.3%
food 18
 
2.1%
to 16
 
1.8%
be 15
 
1.7%
all 14
 
1.6%
must 14
 
1.6%
hand 14
 
1.6%
and 13
 
1.5%
raw 11
 
1.3%
Other values (345) 707
81.5%
2024-02-21T21:13:24.426104image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
806
15.8%
e 389
 
7.6%
o 312
 
6.1%
a 304
 
5.9%
i 281
 
5.5%
s 279
 
5.5%
n 276
 
5.4%
t 263
 
5.1%
r 232
 
4.5%
l 160
 
3.1%
Other values (60) 1814
35.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3544
69.3%
Space Separator 806
 
15.8%
Uppercase Letter 671
 
13.1%
Other Punctuation 54
 
1.1%
Decimal Number 36
 
0.7%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 389
11.0%
o 312
 
8.8%
a 304
 
8.6%
i 281
 
7.9%
s 279
 
7.9%
n 276
 
7.8%
t 263
 
7.4%
r 232
 
6.5%
l 160
 
4.5%
d 151
 
4.3%
Other values (16) 897
25.3%
Uppercase Letter
ValueCountFrequency (%)
E 73
10.9%
O 61
 
9.1%
R 59
 
8.8%
S 57
 
8.5%
A 50
 
7.5%
N 48
 
7.2%
L 47
 
7.0%
I 40
 
6.0%
T 36
 
5.4%
D 31
 
4.6%
Other values (14) 169
25.2%
Decimal Number
ValueCountFrequency (%)
5 10
27.8%
4 6
16.7%
3 5
13.9%
8 3
 
8.3%
0 3
 
8.3%
1 3
 
8.3%
2 2
 
5.6%
6 2
 
5.6%
7 1
 
2.8%
9 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 32
59.3%
, 15
27.8%
& 2
 
3.7%
' 2
 
3.7%
" 2
 
3.7%
: 1
 
1.9%
Space Separator
ValueCountFrequency (%)
806
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4215
82.4%
Common 901
 
17.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 389
 
9.2%
o 312
 
7.4%
a 304
 
7.2%
i 281
 
6.7%
s 279
 
6.6%
n 276
 
6.5%
t 263
 
6.2%
r 232
 
5.5%
l 160
 
3.8%
d 151
 
3.6%
Other values (40) 1568
37.2%
Common
ValueCountFrequency (%)
806
89.5%
. 32
 
3.6%
, 15
 
1.7%
5 10
 
1.1%
4 6
 
0.7%
3 5
 
0.6%
8 3
 
0.3%
0 3
 
0.3%
1 3
 
0.3%
& 2
 
0.2%
Other values (10) 16
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
806
15.8%
e 389
 
7.6%
o 312
 
6.1%
a 304
 
5.9%
i 281
 
5.5%
s 279
 
5.5%
n 276
 
5.4%
t 263
 
5.1%
r 232
 
4.5%
l 160
 
3.1%
Other values (60) 1814
35.5%
Distinct51
Distinct (%)69.9%
Missing78327
Missing (%)99.9%
Memory size612.6 KiB
2024-02-21T21:13:24.631721image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length62
Mean length46.684932
Min length16

Characters and Unicode

Total characters3408
Distinct characters68
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)52.1%

Sample

1st row*14 When to wash hands before donning new gloves
2nd row*31 Handwashing lavatory - used for other purpose
3rd row*45 Premises shall be maintained in good repair
4th row*09 Food protected cross contamination arrange each type food in equipment so cross is prevented
5th row*02 Cold Hold (41øF/45øF or below)
ValueCountFrequency (%)
food 18
 
3.3%
13
 
2.4%
or 10
 
1.8%
to 10
 
1.8%
in 9
 
1.7%
other 9
 
1.7%
47 9
 
1.7%
cross 7
 
1.3%
violations 6
 
1.1%
for 6
 
1.1%
Other values (250) 447
82.2%
2024-02-21T21:13:24.976217image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
477
14.0%
e 271
 
8.0%
o 264
 
7.7%
i 194
 
5.7%
a 189
 
5.5%
t 188
 
5.5%
s 179
 
5.3%
n 176
 
5.2%
r 164
 
4.8%
d 117
 
3.4%
Other values (58) 1189
34.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2420
71.0%
Space Separator 477
 
14.0%
Decimal Number 192
 
5.6%
Uppercase Letter 164
 
4.8%
Other Punctuation 123
 
3.6%
Dash Punctuation 18
 
0.5%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%
Math Symbol 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 271
11.2%
o 264
10.9%
i 194
 
8.0%
a 189
 
7.8%
t 188
 
7.8%
s 179
 
7.4%
n 176
 
7.3%
r 164
 
6.8%
d 117
 
4.8%
l 111
 
4.6%
Other values (16) 567
23.4%
Uppercase Letter
ValueCountFrequency (%)
F 29
17.7%
C 20
12.2%
T 18
11.0%
O 12
 
7.3%
S 12
 
7.3%
P 10
 
6.1%
H 10
 
6.1%
R 7
 
4.3%
D 7
 
4.3%
I 7
 
4.3%
Other values (10) 32
19.5%
Decimal Number
ValueCountFrequency (%)
4 49
25.5%
1 32
16.7%
2 26
13.5%
0 19
 
9.9%
3 17
 
8.9%
5 13
 
6.8%
7 10
 
5.2%
9 10
 
5.2%
6 9
 
4.7%
8 7
 
3.6%
Other Punctuation
ValueCountFrequency (%)
* 73
59.3%
, 27
 
22.0%
/ 17
 
13.8%
: 3
 
2.4%
. 1
 
0.8%
' 1
 
0.8%
& 1
 
0.8%
Space Separator
ValueCountFrequency (%)
477
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
> 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2584
75.8%
Common 824
 
24.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 271
 
10.5%
o 264
 
10.2%
i 194
 
7.5%
a 189
 
7.3%
t 188
 
7.3%
s 179
 
6.9%
n 176
 
6.8%
r 164
 
6.3%
d 117
 
4.5%
l 111
 
4.3%
Other values (36) 731
28.3%
Common
ValueCountFrequency (%)
477
57.9%
* 73
 
8.9%
4 49
 
5.9%
1 32
 
3.9%
, 27
 
3.3%
2 26
 
3.2%
0 19
 
2.3%
- 18
 
2.2%
/ 17
 
2.1%
3 17
 
2.1%
Other values (12) 69
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3398
99.7%
None 10
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
477
14.0%
e 271
 
8.0%
o 264
 
7.8%
i 194
 
5.7%
a 189
 
5.6%
t 188
 
5.5%
s 179
 
5.3%
n 176
 
5.2%
r 164
 
4.8%
d 117
 
3.4%
Other values (57) 1179
34.7%
None
ValueCountFrequency (%)
ø 10
100.0%

Violation Points - 21
Categorical

MISSING 

Distinct3
Distinct (%)4.1%
Missing78327
Missing (%)99.9%
Memory size612.6 KiB
1.0
32 
3.0
26 
2.0
15 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters219
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row1.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 32
 
< 0.1%
3.0 26
 
< 0.1%
2.0 15
 
< 0.1%
(Missing) 78327
99.9%

Length

2024-02-21T21:13:25.121471image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:25.225616image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 32
43.8%
3.0 26
35.6%
2.0 15
20.5%

Most occurring characters

ValueCountFrequency (%)
. 73
33.3%
0 73
33.3%
1 32
14.6%
3 26
 
11.9%
2 15
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 146
66.7%
Other Punctuation 73
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 73
50.0%
1 32
21.9%
3 26
 
17.8%
2 15
 
10.3%
Other Punctuation
ValueCountFrequency (%)
. 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 219
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 73
33.3%
0 73
33.3%
1 32
14.6%
3 26
 
11.9%
2 15
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 73
33.3%
0 73
33.3%
1 32
14.6%
3 26
 
11.9%
2 15
 
6.8%

Violation Detail - 21
Text

MISSING 

Distinct50
Distinct (%)73.5%
Missing78332
Missing (%)99.9%
Memory size612.6 KiB
2024-02-21T21:13:25.462760image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length815
Median length457
Mean length379.88235
Min length163

Characters and Unicode

Total characters25832
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)55.9%

Sample

1st row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; and
2nd row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (2) A handwashing facility may not be used for purposes other than handwashing.
3rd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
4th row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; and
5th row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
ValueCountFrequency (%)
and 212
 
5.9%
food 157
 
4.3%
the 109
 
3.0%
of 106
 
2.9%
a 90
 
2.5%
shall 77
 
2.1%
in 70
 
1.9%
or 69
 
1.9%
be 69
 
1.9%
as 59
 
1.6%
Other values (639) 2600
71.9%
2024-02-21T21:13:25.895850image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5314
20.6%
e 2174
 
8.4%
a 1593
 
6.2%
n 1469
 
5.7%
i 1467
 
5.7%
o 1465
 
5.7%
t 1399
 
5.4%
s 1388
 
5.4%
r 1041
 
4.0%
d 925
 
3.6%
Other values (59) 7597
29.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 18220
70.5%
Space Separator 5314
 
20.6%
Other Punctuation 716
 
2.8%
Decimal Number 562
 
2.2%
Uppercase Letter 494
 
1.9%
Close Punctuation 220
 
0.9%
Open Punctuation 218
 
0.8%
Dash Punctuation 88
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2174
11.9%
a 1593
 
8.7%
n 1469
 
8.1%
i 1467
 
8.1%
o 1465
 
8.0%
t 1399
 
7.7%
s 1388
 
7.6%
r 1041
 
5.7%
d 925
 
5.1%
l 795
 
4.4%
Other values (17) 4504
24.7%
Uppercase Letter
ValueCountFrequency (%)
F 86
17.4%
P 71
14.4%
C 58
11.7%
E 44
8.9%
T 39
7.9%
A 32
 
6.5%
S 29
 
5.9%
R 27
 
5.5%
L 17
 
3.4%
B 15
 
3.0%
Other values (11) 76
15.4%
Decimal Number
ValueCountFrequency (%)
2 185
32.9%
1 104
18.5%
8 81
14.4%
5 43
 
7.7%
7 35
 
6.2%
4 33
 
5.9%
6 33
 
5.9%
3 27
 
4.8%
0 11
 
2.0%
9 10
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 327
45.7%
. 309
43.2%
: 38
 
5.3%
; 28
 
3.9%
/ 11
 
1.5%
# 2
 
0.3%
' 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5314
100.0%
Close Punctuation
ValueCountFrequency (%)
) 220
100.0%
Open Punctuation
ValueCountFrequency (%)
( 218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18714
72.4%
Common 7118
 
27.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2174
11.6%
a 1593
 
8.5%
n 1469
 
7.8%
i 1467
 
7.8%
o 1465
 
7.8%
t 1399
 
7.5%
s 1388
 
7.4%
r 1041
 
5.6%
d 925
 
4.9%
l 795
 
4.2%
Other values (38) 4998
26.7%
Common
ValueCountFrequency (%)
5314
74.7%
, 327
 
4.6%
. 309
 
4.3%
) 220
 
3.1%
( 218
 
3.1%
2 185
 
2.6%
1 104
 
1.5%
- 88
 
1.2%
8 81
 
1.1%
5 43
 
0.6%
Other values (11) 229
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25827
> 99.9%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5314
20.6%
e 2174
 
8.4%
a 1593
 
6.2%
n 1469
 
5.7%
i 1467
 
5.7%
o 1465
 
5.7%
t 1399
 
5.4%
s 1388
 
5.4%
r 1041
 
4.0%
d 925
 
3.6%
Other values (58) 7592
29.4%
None
ValueCountFrequency (%)
õ 5
100.0%

Violation Memo - 21
Text

MISSING 

Distinct62
Distinct (%)98.4%
Missing78337
Missing (%)99.9%
Memory size612.6 KiB
2024-02-21T21:13:26.197439image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length211
Median length54
Mean length44.952381
Min length5

Characters and Unicode

Total characters2832
Distinct characters71
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)96.8%

Sample

1st rowHAND SINK USED TO AS A PREP SINK
2nd rowrepair water heater, water damaged ceiling tile.
3rd rowraw shell eggs over guac
4th rowcooler units must be maintain 40 F or below
5th rowdirty linen on open bags close to utensils must be maintain in a close container with lid to avoid pest harboring and unlawful smells
ValueCountFrequency (%)
and 13
 
2.7%
food 10
 
2.1%
in 9
 
1.9%
with 9
 
1.9%
must 8
 
1.7%
to 8
 
1.7%
provide 8
 
1.7%
of 8
 
1.7%
be 7
 
1.5%
hand 7
 
1.5%
Other values (233) 388
81.7%
2024-02-21T21:13:26.752109image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
427
15.1%
e 244
 
8.6%
a 173
 
6.1%
o 165
 
5.8%
n 161
 
5.7%
t 155
 
5.5%
i 154
 
5.4%
s 139
 
4.9%
r 135
 
4.8%
d 99
 
3.5%
Other values (61) 980
34.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2000
70.6%
Space Separator 427
 
15.1%
Uppercase Letter 341
 
12.0%
Other Punctuation 34
 
1.2%
Decimal Number 19
 
0.7%
Dash Punctuation 4
 
0.1%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 244
12.2%
a 173
 
8.6%
o 165
 
8.2%
n 161
 
8.1%
t 155
 
7.8%
i 154
 
7.7%
s 139
 
7.0%
r 135
 
6.8%
d 99
 
5.0%
l 89
 
4.5%
Other values (16) 486
24.3%
Uppercase Letter
ValueCountFrequency (%)
E 41
12.0%
O 33
9.7%
S 31
 
9.1%
T 26
 
7.6%
N 25
 
7.3%
L 23
 
6.7%
R 22
 
6.5%
A 22
 
6.5%
I 20
 
5.9%
C 16
 
4.7%
Other values (13) 82
24.0%
Decimal Number
ValueCountFrequency (%)
6 4
21.1%
9 3
15.8%
8 2
10.5%
4 2
10.5%
5 2
10.5%
3 2
10.5%
2 1
 
5.3%
0 1
 
5.3%
1 1
 
5.3%
7 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 17
50.0%
, 8
23.5%
/ 3
 
8.8%
& 2
 
5.9%
' 2
 
5.9%
* 1
 
2.9%
; 1
 
2.9%
Space Separator
ValueCountFrequency (%)
427
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2341
82.7%
Common 491
 
17.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 244
 
10.4%
a 173
 
7.4%
o 165
 
7.0%
n 161
 
6.9%
t 155
 
6.6%
i 154
 
6.6%
s 139
 
5.9%
r 135
 
5.8%
d 99
 
4.2%
l 89
 
3.8%
Other values (39) 827
35.3%
Common
ValueCountFrequency (%)
427
87.0%
. 17
 
3.5%
, 8
 
1.6%
6 4
 
0.8%
- 4
 
0.8%
( 3
 
0.6%
) 3
 
0.6%
9 3
 
0.6%
/ 3
 
0.6%
& 2
 
0.4%
Other values (12) 17
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2831
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
427
15.1%
e 244
 
8.6%
a 173
 
6.1%
o 165
 
5.8%
n 161
 
5.7%
t 155
 
5.5%
i 154
 
5.4%
s 139
 
4.9%
r 135
 
4.8%
d 99
 
3.5%
Other values (60) 979
34.6%
None
ValueCountFrequency (%)
° 1
100.0%
Distinct25
Distinct (%)78.1%
Missing78368
Missing (%)> 99.9%
Memory size612.6 KiB
2024-02-21T21:13:26.963028image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length51.5
Mean length48.84375
Min length12

Characters and Unicode

Total characters1563
Distinct characters59
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)65.6%

Sample

1st row*32 Equipment has cracks and corners
2nd row*47 Conditions of Permit-in use of food equipment
3rd row*12 A food employee shall comply with an exclusion or RESTRICTION
4th row*28 Date marking > 24 hrs,on site,temp 41F
5th row*43 Clean vent syst:Intake/exhaust air ducts
ValueCountFrequency (%)
food 13
 
5.3%
8
 
3.3%
of 6
 
2.5%
other 6
 
2.5%
47 5
 
2.0%
contamination 5
 
2.0%
in 5
 
2.0%
shall 5
 
2.0%
and 5
 
2.0%
24 5
 
2.0%
Other values (119) 181
74.2%
2024-02-21T21:13:27.382719image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
13.9%
o 123
 
7.9%
e 117
 
7.5%
n 101
 
6.5%
t 97
 
6.2%
a 96
 
6.1%
i 85
 
5.4%
s 82
 
5.2%
r 80
 
5.1%
c 43
 
2.8%
Other values (49) 522
33.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1127
72.1%
Space Separator 217
 
13.9%
Decimal Number 78
 
5.0%
Uppercase Letter 70
 
4.5%
Other Punctuation 59
 
3.8%
Dash Punctuation 9
 
0.6%
Math Symbol 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 123
10.9%
e 117
10.4%
n 101
 
9.0%
t 97
 
8.6%
a 96
 
8.5%
i 85
 
7.5%
s 82
 
7.3%
r 80
 
7.1%
c 43
 
3.8%
d 42
 
3.7%
Other values (14) 261
23.2%
Uppercase Letter
ValueCountFrequency (%)
F 12
17.1%
C 6
 
8.6%
O 6
 
8.6%
P 6
 
8.6%
D 4
 
5.7%
E 4
 
5.7%
T 4
 
5.7%
M 4
 
5.7%
L 3
 
4.3%
N 3
 
4.3%
Other values (8) 18
25.7%
Decimal Number
ValueCountFrequency (%)
4 20
25.6%
2 18
23.1%
3 14
17.9%
7 8
 
10.3%
1 6
 
7.7%
5 5
 
6.4%
8 4
 
5.1%
0 2
 
2.6%
9 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
* 32
54.2%
, 16
27.1%
. 5
 
8.5%
/ 3
 
5.1%
: 3
 
5.1%
Space Separator
ValueCountFrequency (%)
217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
> 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1197
76.6%
Common 366
 
23.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 123
 
10.3%
e 117
 
9.8%
n 101
 
8.4%
t 97
 
8.1%
a 96
 
8.0%
i 85
 
7.1%
s 82
 
6.9%
r 80
 
6.7%
c 43
 
3.6%
d 42
 
3.5%
Other values (32) 331
27.7%
Common
ValueCountFrequency (%)
217
59.3%
* 32
 
8.7%
4 20
 
5.5%
2 18
 
4.9%
, 16
 
4.4%
3 14
 
3.8%
- 9
 
2.5%
7 8
 
2.2%
1 6
 
1.6%
. 5
 
1.4%
Other values (7) 21
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1563
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217
13.9%
o 123
 
7.9%
e 117
 
7.5%
n 101
 
6.5%
t 97
 
6.2%
a 96
 
6.1%
i 85
 
5.4%
s 82
 
5.2%
r 80
 
5.1%
c 43
 
2.8%
Other values (49) 522
33.4%

Violation Points - 22
Categorical

MISSING 

Distinct3
Distinct (%)9.4%
Missing78368
Missing (%)> 99.9%
Memory size612.6 KiB
1.0
16 
2.0
14 
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters96
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row3.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 16
 
< 0.1%
2.0 14
 
< 0.1%
3.0 2
 
< 0.1%
(Missing) 78368
> 99.9%

Length

2024-02-21T21:13:27.616772image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:27.719025image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 16
50.0%
2.0 14
43.8%
3.0 2
 
6.2%

Most occurring characters

ValueCountFrequency (%)
. 32
33.3%
0 32
33.3%
1 16
16.7%
2 14
14.6%
3 2
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 64
66.7%
Other Punctuation 32
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
50.0%
1 16
25.0%
2 14
21.9%
3 2
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 32
33.3%
0 32
33.3%
1 16
16.7%
2 14
14.6%
3 2
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 32
33.3%
0 32
33.3%
1 16
16.7%
2 14
14.6%
3 2
 
2.1%

Violation Detail - 22
Text

MISSING 

Distinct24
Distinct (%)82.8%
Missing78371
Missing (%)> 99.9%
Memory size612.6 KiB
2024-02-21T21:13:27.936906image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length815
Median length329
Mean length357.31034
Min length194

Characters and Unicode

Total characters10362
Distinct characters65
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)72.4%

Sample

1st row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (3) free of sharp internal angles, corners, and crevices;
2nd row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
3rd row228.35 Management and Personnel. Responsibilities and Reporting Symptoms and Diagnosis. (f) A food employee shall: (2) comply with a restriction as specified in õ228.36(4)(B), (5)(B), (6)(B), (7), (8)(B), or õ228.36 (8), (9), or (10) and comply with the provisions specified in õ228.37(4) - (10) of this title.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
ValueCountFrequency (%)
and 73
 
5.0%
food 71
 
4.9%
the 64
 
4.4%
of 45
 
3.1%
a 43
 
3.0%
shall 35
 
2.4%
in 35
 
2.4%
be 32
 
2.2%
or 29
 
2.0%
by 19
 
1.3%
Other values (401) 1004
69.2%
2024-02-21T21:13:28.373636image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2194
21.2%
e 829
 
8.0%
a 626
 
6.0%
t 589
 
5.7%
o 578
 
5.6%
i 572
 
5.5%
s 530
 
5.1%
n 525
 
5.1%
r 409
 
3.9%
d 353
 
3.4%
Other values (55) 3157
30.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7071
68.2%
Space Separator 2194
 
21.2%
Other Punctuation 306
 
3.0%
Decimal Number 285
 
2.8%
Uppercase Letter 266
 
2.6%
Close Punctuation 105
 
1.0%
Open Punctuation 105
 
1.0%
Dash Punctuation 30
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 829
11.7%
a 626
 
8.9%
t 589
 
8.3%
o 578
 
8.2%
i 572
 
8.1%
s 530
 
7.5%
n 525
 
7.4%
r 409
 
5.8%
d 353
 
5.0%
l 290
 
4.1%
Other values (17) 1770
25.0%
Uppercase Letter
ValueCountFrequency (%)
F 32
12.0%
P 30
11.3%
T 25
9.4%
E 23
8.6%
C 21
 
7.9%
A 19
 
7.1%
S 17
 
6.4%
R 16
 
6.0%
L 14
 
5.3%
B 14
 
5.3%
Other values (9) 55
20.7%
Decimal Number
ValueCountFrequency (%)
2 102
35.8%
8 46
16.1%
1 38
 
13.3%
7 21
 
7.4%
5 19
 
6.7%
4 17
 
6.0%
6 16
 
5.6%
3 12
 
4.2%
0 10
 
3.5%
9 4
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 137
44.8%
. 135
44.1%
: 18
 
5.9%
; 13
 
4.2%
/ 3
 
1.0%
Space Separator
ValueCountFrequency (%)
2194
100.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7337
70.8%
Common 3025
29.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 829
11.3%
a 626
 
8.5%
t 589
 
8.0%
o 578
 
7.9%
i 572
 
7.8%
s 530
 
7.2%
n 525
 
7.2%
r 409
 
5.6%
d 353
 
4.8%
l 290
 
4.0%
Other values (36) 2036
27.7%
Common
ValueCountFrequency (%)
2194
72.5%
, 137
 
4.5%
. 135
 
4.5%
) 105
 
3.5%
( 105
 
3.5%
2 102
 
3.4%
8 46
 
1.5%
1 38
 
1.3%
- 30
 
1.0%
7 21
 
0.7%
Other values (9) 112
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10353
99.9%
None 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2194
21.2%
e 829
 
8.0%
a 626
 
6.0%
t 589
 
5.7%
o 578
 
5.6%
i 572
 
5.5%
s 530
 
5.1%
n 525
 
5.1%
r 409
 
4.0%
d 353
 
3.4%
Other values (54) 3148
30.4%
None
ValueCountFrequency (%)
õ 9
100.0%

Violation Memo - 22
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing78370
Missing (%)> 99.9%
Memory size612.6 KiB
2024-02-21T21:13:28.683586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length374
Median length49.5
Mean length58.166667
Min length17

Characters and Unicode

Total characters1745
Distinct characters51
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowequipment broken in all areas must be replace or repair to proper condition
2nd rowpost consumer health.
3rd rowmissing employee health policies and procedures
4th rowmissing date marking on food containers must be have date marks to avoid cross contamination
5th rowMust clean air intake vent near restrooms
ValueCountFrequency (%)
in 11
 
3.8%
all 8
 
2.7%
to 8
 
2.7%
sink 7
 
2.4%
food 7
 
2.4%
missing 6
 
2.0%
and 6
 
2.0%
must 6
 
2.0%
hand 6
 
2.0%
replace 6
 
2.0%
Other values (147) 222
75.8%
2024-02-21T21:13:29.103252image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
282
16.2%
e 145
 
8.3%
o 116
 
6.6%
a 107
 
6.1%
n 107
 
6.1%
s 104
 
6.0%
i 102
 
5.8%
t 94
 
5.4%
r 86
 
4.9%
l 71
 
4.1%
Other values (41) 531
30.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1289
73.9%
Space Separator 282
 
16.2%
Uppercase Letter 161
 
9.2%
Other Punctuation 6
 
0.3%
Decimal Number 3
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 145
11.2%
o 116
 
9.0%
a 107
 
8.3%
n 107
 
8.3%
s 104
 
8.1%
i 102
 
7.9%
t 94
 
7.3%
r 86
 
6.7%
l 71
 
5.5%
c 48
 
3.7%
Other values (13) 309
24.0%
Uppercase Letter
ValueCountFrequency (%)
E 17
10.6%
N 17
10.6%
R 14
 
8.7%
O 13
 
8.1%
A 13
 
8.1%
I 10
 
6.2%
C 10
 
6.2%
D 10
 
6.2%
T 9
 
5.6%
M 8
 
5.0%
Other values (12) 40
24.8%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
. 2
33.3%
Space Separator
ValueCountFrequency (%)
282
100.0%
Decimal Number
ValueCountFrequency (%)
3 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1450
83.1%
Common 295
 
16.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 145
 
10.0%
o 116
 
8.0%
a 107
 
7.4%
n 107
 
7.4%
s 104
 
7.2%
i 102
 
7.0%
t 94
 
6.5%
r 86
 
5.9%
l 71
 
4.9%
c 48
 
3.3%
Other values (35) 470
32.4%
Common
ValueCountFrequency (%)
282
95.6%
, 4
 
1.4%
3 3
 
1.0%
) 2
 
0.7%
( 2
 
0.7%
. 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1745
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
282
16.2%
e 145
 
8.3%
o 116
 
6.6%
a 107
 
6.1%
n 107
 
6.1%
s 104
 
6.0%
i 102
 
5.8%
t 94
 
5.4%
r 86
 
4.9%
l 71
 
4.1%
Other values (41) 531
30.4%
Distinct17
Distinct (%)94.4%
Missing78382
Missing (%)> 99.9%
Memory size612.6 KiB
2024-02-21T21:13:29.633172image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length100
Median length49
Mean length51.222222
Min length20

Characters and Unicode

Total characters922
Distinct characters62
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)88.9%

Sample

1st row*44 Receptacles prevent debris, insect, rodents, allow for cleaning
2nd row*10 Equipment and Utensils Cleaning-contamination
3rd row*47 RFSM Certificate - Not Display
4th row*22 Accredited food handler certificate - 60 days
5th row*39 Cooking equipment free of encrusted grease
ValueCountFrequency (%)
4
 
2.8%
for 4
 
2.8%
or 4
 
2.8%
in 3
 
2.1%
food 3
 
2.1%
47 3
 
2.1%
and 2
 
1.4%
certificate 2
 
1.4%
a 2
 
1.4%
of 2
 
1.4%
Other values (105) 116
80.0%
2024-02-21T21:13:30.149158image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
13.9%
e 80
 
8.7%
o 64
 
6.9%
n 54
 
5.9%
i 52
 
5.6%
t 52
 
5.6%
r 47
 
5.1%
a 44
 
4.8%
s 41
 
4.4%
d 30
 
3.3%
Other values (52) 330
35.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 656
71.1%
Space Separator 128
 
13.9%
Decimal Number 50
 
5.4%
Uppercase Letter 48
 
5.2%
Other Punctuation 29
 
3.1%
Dash Punctuation 6
 
0.7%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 80
12.2%
o 64
 
9.8%
n 54
 
8.2%
i 52
 
7.9%
t 52
 
7.9%
r 47
 
7.2%
a 44
 
6.7%
s 41
 
6.2%
d 30
 
4.6%
l 30
 
4.6%
Other values (15) 162
24.7%
Uppercase Letter
ValueCountFrequency (%)
F 8
16.7%
C 7
14.6%
H 4
 
8.3%
O 3
 
6.2%
S 3
 
6.2%
A 3
 
6.2%
R 3
 
6.2%
T 3
 
6.2%
N 2
 
4.2%
D 2
 
4.2%
Other values (8) 10
20.8%
Decimal Number
ValueCountFrequency (%)
4 15
30.0%
2 8
16.0%
1 6
 
12.0%
0 5
 
10.0%
7 4
 
8.0%
5 3
 
6.0%
9 3
 
6.0%
3 3
 
6.0%
6 2
 
4.0%
8 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
* 18
62.1%
, 8
27.6%
/ 2
 
6.9%
& 1
 
3.4%
Space Separator
ValueCountFrequency (%)
128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 704
76.4%
Common 218
 
23.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 80
 
11.4%
o 64
 
9.1%
n 54
 
7.7%
i 52
 
7.4%
t 52
 
7.4%
r 47
 
6.7%
a 44
 
6.2%
s 41
 
5.8%
d 30
 
4.3%
l 30
 
4.3%
Other values (33) 210
29.8%
Common
ValueCountFrequency (%)
128
58.7%
* 18
 
8.3%
4 15
 
6.9%
, 8
 
3.7%
2 8
 
3.7%
- 6
 
2.8%
1 6
 
2.8%
0 5
 
2.3%
7 4
 
1.8%
5 3
 
1.4%
Other values (9) 17
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 918
99.6%
None 4
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
 
13.9%
e 80
 
8.7%
o 64
 
7.0%
n 54
 
5.9%
i 52
 
5.7%
t 52
 
5.7%
r 47
 
5.1%
a 44
 
4.8%
s 41
 
4.5%
d 30
 
3.3%
Other values (51) 326
35.5%
None
ValueCountFrequency (%)
ø 4
100.0%

Violation Points - 23
Categorical

MISSING 

Distinct3
Distinct (%)16.7%
Missing78382
Missing (%)> 99.9%
Memory size612.6 KiB
1.0
10 
3.0
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters54
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 10
 
< 0.1%
3.0 4
 
< 0.1%
2.0 4
 
< 0.1%
(Missing) 78382
> 99.9%

Length

2024-02-21T21:13:30.328820image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:30.484625image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 10
55.6%
3.0 4
 
22.2%
2.0 4
 
22.2%

Most occurring characters

ValueCountFrequency (%)
. 18
33.3%
0 18
33.3%
1 10
18.5%
3 4
 
7.4%
2 4
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36
66.7%
Other Punctuation 18
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
50.0%
1 10
27.8%
3 4
 
11.1%
2 4
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 18
33.3%
0 18
33.3%
1 10
18.5%
3 4
 
7.4%
2 4
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 18
33.3%
0 18
33.3%
1 10
18.5%
3 4
 
7.4%
2 4
 
7.4%

Violation Detail - 23
Text

MISSING 

Distinct17
Distinct (%)94.4%
Missing78382
Missing (%)> 99.9%
Memory size612.6 KiB
2024-02-21T21:13:30.733670image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length815
Median length363
Mean length375.22222
Min length193

Characters and Unicode

Total characters6754
Distinct characters64
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)88.9%

Sample

1st row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (f) Outside receptacles. (2) Receptacles and waste handling units for refuse and recyclables such as an on-site compactor shall be installed so that accumulation of debris and insect and rodent attraction and harborage are minimized and effective cleaning is facilitated around and, if the unit is not installed flush with the base pad, under the unit.
2nd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be cleaned: (E) at any time during the operation when contamination may have occurred.
3rd rowSec.17-2.2(c) Registered food service managers. (7) Display of certificate of registered food service manager. A food service establishment shall display the original certificate of each primary registered food service manager employed by the establishment. Each certificate must be displayed in a glass-covered frame at a location where it is easily visible to the public.
4th rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (2) The food-contact surfaces of cooking equipment and pans shall be kept free of encrusted grease deposits and other soil accumulations.
ValueCountFrequency (%)
and 64
 
6.8%
food 38
 
4.0%
the 34
 
3.6%
of 26
 
2.8%
shall 23
 
2.4%
be 21
 
2.2%
a 21
 
2.2%
or 18
 
1.9%
in 17
 
1.8%
equipment 14
 
1.5%
Other values (323) 667
70.7%
2024-02-21T21:13:31.195287image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1381
20.4%
e 588
 
8.7%
a 440
 
6.5%
i 376
 
5.6%
t 373
 
5.5%
n 372
 
5.5%
o 356
 
5.3%
s 349
 
5.2%
r 266
 
3.9%
d 247
 
3.7%
Other values (54) 2006
29.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4784
70.8%
Space Separator 1381
 
20.4%
Other Punctuation 175
 
2.6%
Decimal Number 146
 
2.2%
Uppercase Letter 136
 
2.0%
Open Punctuation 56
 
0.8%
Close Punctuation 56
 
0.8%
Dash Punctuation 20
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 588
12.3%
a 440
 
9.2%
i 376
 
7.9%
t 373
 
7.8%
n 372
 
7.8%
o 356
 
7.4%
s 349
 
7.3%
r 266
 
5.6%
d 247
 
5.2%
l 221
 
4.6%
Other values (17) 1196
25.0%
Uppercase Letter
ValueCountFrequency (%)
F 20
14.7%
E 19
14.0%
C 13
9.6%
P 13
9.6%
R 10
7.4%
S 9
6.6%
T 9
6.6%
W 8
 
5.9%
A 8
 
5.9%
U 5
 
3.7%
Other values (8) 22
16.2%
Decimal Number
ValueCountFrequency (%)
2 52
35.6%
1 28
19.2%
8 19
 
13.0%
5 12
 
8.2%
4 9
 
6.2%
7 9
 
6.2%
3 8
 
5.5%
6 6
 
4.1%
9 2
 
1.4%
0 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 83
47.4%
, 74
42.3%
: 9
 
5.1%
; 6
 
3.4%
/ 3
 
1.7%
Space Separator
ValueCountFrequency (%)
1381
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4920
72.8%
Common 1834
 
27.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 588
12.0%
a 440
 
8.9%
i 376
 
7.6%
t 373
 
7.6%
n 372
 
7.6%
o 356
 
7.2%
s 349
 
7.1%
r 266
 
5.4%
d 247
 
5.0%
l 221
 
4.5%
Other values (35) 1332
27.1%
Common
ValueCountFrequency (%)
1381
75.3%
. 83
 
4.5%
, 74
 
4.0%
( 56
 
3.1%
) 56
 
3.1%
2 52
 
2.8%
1 28
 
1.5%
- 20
 
1.1%
8 19
 
1.0%
5 12
 
0.7%
Other values (9) 53
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6751
> 99.9%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1381
20.5%
e 588
 
8.7%
a 440
 
6.5%
i 376
 
5.6%
t 373
 
5.5%
n 372
 
5.5%
o 356
 
5.3%
s 349
 
5.2%
r 266
 
3.9%
d 247
 
3.7%
Other values (53) 2003
29.7%
None
ValueCountFrequency (%)
õ 3
100.0%

Violation Memo - 23
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing78383
Missing (%)> 99.9%
Memory size612.6 KiB
2024-02-21T21:13:31.452424image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length103
Median length50
Mean length50.176471
Min length7

Characters and Unicode

Total characters853
Distinct characters58
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st rowtrash receptacles dirty with out lids must be have lids and properly clean
2nd rowsanitize food surfaces during operational hours
3rd rowmissing RFSM certificate must be have FSM registered with the city
4th rowfood handler certificates expired
5th rowcooking equipment dirty with soils and grease accumulations must be clean to avoid cross contamination
ValueCountFrequency (%)
at 4
 
2.9%
food 3
 
2.1%
must 3
 
2.1%
clean 3
 
2.1%
hand 3
 
2.1%
be 3
 
2.1%
in 3
 
2.1%
with 3
 
2.1%
missing 3
 
2.1%
stored 3
 
2.1%
Other values (96) 109
77.9%
2024-02-21T21:13:31.818226image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
15.0%
e 64
 
7.5%
i 52
 
6.1%
s 51
 
6.0%
o 50
 
5.9%
r 45
 
5.3%
a 44
 
5.2%
t 40
 
4.7%
n 37
 
4.3%
d 33
 
3.9%
Other values (48) 309
36.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 613
71.9%
Space Separator 128
 
15.0%
Uppercase Letter 92
 
10.8%
Other Punctuation 9
 
1.1%
Decimal Number 9
 
1.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 64
 
10.4%
i 52
 
8.5%
s 51
 
8.3%
o 50
 
8.2%
r 45
 
7.3%
a 44
 
7.2%
t 40
 
6.5%
n 37
 
6.0%
d 33
 
5.4%
c 26
 
4.2%
Other values (15) 171
27.9%
Uppercase Letter
ValueCountFrequency (%)
S 11
12.0%
O 9
 
9.8%
E 8
 
8.7%
C 7
 
7.6%
R 6
 
6.5%
A 6
 
6.5%
T 6
 
6.5%
M 6
 
6.5%
I 5
 
5.4%
F 5
 
5.4%
Other values (10) 23
25.0%
Other Punctuation
ValueCountFrequency (%)
. 3
33.3%
, 2
22.2%
* 2
22.2%
' 1
 
11.1%
/ 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
5 3
33.3%
7 2
22.2%
6 2
22.2%
8 1
 
11.1%
4 1
 
11.1%
Space Separator
ValueCountFrequency (%)
128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 705
82.6%
Common 148
 
17.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 64
 
9.1%
i 52
 
7.4%
s 51
 
7.2%
o 50
 
7.1%
r 45
 
6.4%
a 44
 
6.2%
t 40
 
5.7%
n 37
 
5.2%
d 33
 
4.7%
c 26
 
3.7%
Other values (35) 263
37.3%
Common
ValueCountFrequency (%)
128
86.5%
. 3
 
2.0%
5 3
 
2.0%
7 2
 
1.4%
, 2
 
1.4%
* 2
 
1.4%
6 2
 
1.4%
' 1
 
0.7%
) 1
 
0.7%
( 1
 
0.7%
Other values (3) 3
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 853
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
15.0%
e 64
 
7.5%
i 52
 
6.1%
s 51
 
6.0%
o 50
 
5.9%
r 45
 
5.3%
a 44
 
5.2%
t 40
 
4.7%
n 37
 
4.3%
d 33
 
3.9%
Other values (48) 309
36.2%
Distinct10
Distinct (%)83.3%
Missing78388
Missing (%)> 99.9%
Memory size612.6 KiB
2024-02-21T21:13:32.013077image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length59
Median length47.5
Mean length44.75
Min length23

Characters and Unicode

Total characters537
Distinct characters47
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)66.7%

Sample

1st row*43 Ventilation hood-prevent grease dripping
2nd row*24 Food Labeling- with common name of the food
3rd row*46 Water, Plumbing, and Waste Plumbing Systems-good repair
4th row*36 Cloths in-use for wiping between uses stored
5th row*24 Food Labeling- with common name of the food
ValueCountFrequency (%)
food 4
 
4.8%
45 4
 
4.8%
be 3
 
3.6%
and 3
 
3.6%
repair 3
 
3.6%
plumbing 2
 
2.4%
equipment 2
 
2.4%
to 2
 
2.4%
good 2
 
2.4%
maintained 2
 
2.4%
Other values (46) 56
67.5%
2024-02-21T21:13:32.349431image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
13.6%
e 44
 
8.2%
o 41
 
7.6%
i 38
 
7.1%
n 35
 
6.5%
a 27
 
5.0%
t 26
 
4.8%
s 26
 
4.8%
r 23
 
4.3%
d 20
 
3.7%
Other values (37) 184
34.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 392
73.0%
Space Separator 73
 
13.6%
Decimal Number 24
 
4.5%
Uppercase Letter 22
 
4.1%
Other Punctuation 20
 
3.7%
Dash Punctuation 6
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 44
11.2%
o 41
10.5%
i 38
9.7%
n 35
 
8.9%
a 27
 
6.9%
t 26
 
6.6%
s 26
 
6.6%
r 23
 
5.9%
d 20
 
5.1%
l 18
 
4.6%
Other values (13) 94
24.0%
Uppercase Letter
ValueCountFrequency (%)
P 4
18.2%
F 3
13.6%
L 3
13.6%
E 2
9.1%
C 2
9.1%
S 2
9.1%
W 2
9.1%
V 1
 
4.5%
U 1
 
4.5%
D 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
4 9
37.5%
2 4
16.7%
5 4
16.7%
3 3
 
12.5%
6 2
 
8.3%
7 1
 
4.2%
9 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
* 12
60.0%
, 4
 
20.0%
/ 3
 
15.0%
. 1
 
5.0%
Space Separator
ValueCountFrequency (%)
73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 414
77.1%
Common 123
 
22.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 44
 
10.6%
o 41
 
9.9%
i 38
 
9.2%
n 35
 
8.5%
a 27
 
6.5%
t 26
 
6.3%
s 26
 
6.3%
r 23
 
5.6%
d 20
 
4.8%
l 18
 
4.3%
Other values (24) 116
28.0%
Common
ValueCountFrequency (%)
73
59.3%
* 12
 
9.8%
4 9
 
7.3%
- 6
 
4.9%
, 4
 
3.3%
2 4
 
3.3%
5 4
 
3.3%
/ 3
 
2.4%
3 3
 
2.4%
6 2
 
1.6%
Other values (3) 3
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
 
13.6%
e 44
 
8.2%
o 41
 
7.6%
i 38
 
7.1%
n 35
 
6.5%
a 27
 
5.0%
t 26
 
4.8%
s 26
 
4.8%
r 23
 
4.3%
d 20
 
3.7%
Other values (37) 184
34.3%

Violation Points - 24
Categorical

MISSING 

Distinct2
Distinct (%)16.7%
Missing78388
Missing (%)> 99.9%
Memory size612.6 KiB
1.0
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters36
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 9
 
< 0.1%
2.0 3
 
< 0.1%
(Missing) 78388
> 99.9%

Length

2024-02-21T21:13:32.513429image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:32.608574image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 9
75.0%
2.0 3
 
25.0%

Most occurring characters

ValueCountFrequency (%)
. 12
33.3%
0 12
33.3%
1 9
25.0%
2 3
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24
66.7%
Other Punctuation 12
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12
50.0%
1 9
37.5%
2 3
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 12
33.3%
0 12
33.3%
1 9
25.0%
2 3
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 12
33.3%
0 12
33.3%
1 9
25.0%
2 3
 
8.3%

Violation Detail - 24
Text

MISSING 

Distinct10
Distinct (%)83.3%
Missing78388
Missing (%)> 99.9%
Memory size612.6 KiB
2024-02-21T21:13:32.807677image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length434
Median length316
Mean length275.41667
Min length198

Characters and Unicode

Total characters3305
Distinct characters59
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)66.7%

Sample

1st row228.106 Equipment, Utensils, and Linens. Functionality of equipment. (a) Ventilation hood systems, drip prevention. Exhaust ventilation hood systems in food preparation and warewashing areas including components such as hoods, fans, guards, and ducting shall be designed to prevent grease or condensation from draining or dripping onto food, equipment, utensils, linens, and single-service and single-use articles.
2nd row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;
3rd row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (2) maintained in good repair.
4th row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; and
5th row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;
ValueCountFrequency (%)
and 28
 
6.6%
a 17
 
4.0%
equipment 17
 
4.0%
food 12
 
2.8%
shall 11
 
2.6%
in 11
 
2.6%
be 10
 
2.4%
of 10
 
2.4%
the 8
 
1.9%
utensils 7
 
1.7%
Other values (169) 293
69.1%
2024-02-21T21:13:33.189072image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
726
22.0%
e 253
 
7.7%
i 219
 
6.6%
n 200
 
6.1%
s 194
 
5.9%
a 182
 
5.5%
t 160
 
4.8%
o 153
 
4.6%
l 114
 
3.4%
d 102
 
3.1%
Other values (49) 1002
30.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2228
67.4%
Space Separator 726
 
22.0%
Other Punctuation 134
 
4.1%
Decimal Number 90
 
2.7%
Uppercase Letter 71
 
2.1%
Close Punctuation 24
 
0.7%
Open Punctuation 24
 
0.7%
Dash Punctuation 8
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 253
11.4%
i 219
 
9.8%
n 200
 
9.0%
s 194
 
8.7%
a 182
 
8.2%
t 160
 
7.2%
o 153
 
6.9%
l 114
 
5.1%
d 102
 
4.6%
r 98
 
4.4%
Other values (17) 553
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 12
16.9%
P 11
15.5%
L 10
14.1%
E 9
12.7%
U 6
8.5%
A 5
7.0%
W 3
 
4.2%
S 3
 
4.2%
C 3
 
4.2%
N 2
 
2.8%
Other values (5) 7
9.9%
Decimal Number
ValueCountFrequency (%)
2 34
37.8%
8 19
21.1%
1 15
16.7%
6 8
 
8.9%
4 4
 
4.4%
7 3
 
3.3%
0 3
 
3.3%
9 3
 
3.3%
5 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 68
50.7%
. 59
44.0%
: 4
 
3.0%
; 3
 
2.2%
Space Separator
ValueCountFrequency (%)
726
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2299
69.6%
Common 1006
30.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 253
11.0%
i 219
 
9.5%
n 200
 
8.7%
s 194
 
8.4%
a 182
 
7.9%
t 160
 
7.0%
o 153
 
6.7%
l 114
 
5.0%
d 102
 
4.4%
r 98
 
4.3%
Other values (32) 624
27.1%
Common
ValueCountFrequency (%)
726
72.2%
, 68
 
6.8%
. 59
 
5.9%
2 34
 
3.4%
) 24
 
2.4%
( 24
 
2.4%
8 19
 
1.9%
1 15
 
1.5%
- 8
 
0.8%
6 8
 
0.8%
Other values (7) 21
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3303
99.9%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
726
22.0%
e 253
 
7.7%
i 219
 
6.6%
n 200
 
6.1%
s 194
 
5.9%
a 182
 
5.5%
t 160
 
4.8%
o 153
 
4.6%
l 114
 
3.5%
d 102
 
3.1%
Other values (48) 1000
30.3%
None
ValueCountFrequency (%)
õ 2
100.0%

Violation Memo - 24
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing78388
Missing (%)> 99.9%
Memory size612.6 KiB
2024-02-21T21:13:33.407696image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length186
Median length63
Mean length72.833333
Min length10

Characters and Unicode

Total characters874
Distinct characters51
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st rowvent hood dirty with soils and encrusted grease must be clean to avoid cross contamination
2nd rowmissing labels on all food containers must be have labels in all food containers
3rd rowwater faucets detach from sinks in all areas must be replace or repair to proper condition
4th rowStore wet wiping cloth in sanitizer solution
5th rowBulk items
ValueCountFrequency (%)
in 5
 
3.4%
and 5
 
3.4%
to 5
 
3.4%
be 4
 
2.8%
must 4
 
2.8%
clean 3
 
2.1%
of 3
 
2.1%
floor 3
 
2.1%
the 3
 
2.1%
repair 3
 
2.1%
Other values (86) 107
73.8%
2024-02-21T21:13:33.819738image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
16.5%
e 72
 
8.2%
o 65
 
7.4%
a 61
 
7.0%
n 53
 
6.1%
i 51
 
5.8%
r 51
 
5.8%
t 47
 
5.4%
s 43
 
4.9%
l 37
 
4.2%
Other values (41) 250
28.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 658
75.3%
Space Separator 144
 
16.5%
Uppercase Letter 65
 
7.4%
Other Punctuation 5
 
0.6%
Dash Punctuation 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 72
10.9%
o 65
9.9%
a 61
9.3%
n 53
 
8.1%
i 51
 
7.8%
r 51
 
7.8%
t 47
 
7.1%
s 43
 
6.5%
l 37
 
5.6%
c 26
 
4.0%
Other values (15) 152
23.1%
Uppercase Letter
ValueCountFrequency (%)
S 8
12.3%
I 7
10.8%
E 6
9.2%
L 6
9.2%
R 6
9.2%
T 6
9.2%
O 5
 
7.7%
A 4
 
6.2%
W 2
 
3.1%
M 2
 
3.1%
Other values (10) 13
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
! 2
40.0%
; 1
20.0%
Space Separator
ValueCountFrequency (%)
144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 723
82.7%
Common 151
 
17.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 72
 
10.0%
o 65
 
9.0%
a 61
 
8.4%
n 53
 
7.3%
i 51
 
7.1%
r 51
 
7.1%
t 47
 
6.5%
s 43
 
5.9%
l 37
 
5.1%
c 26
 
3.6%
Other values (35) 217
30.0%
Common
ValueCountFrequency (%)
144
95.4%
. 2
 
1.3%
! 2
 
1.3%
; 1
 
0.7%
- 1
 
0.7%
3 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 874
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
16.5%
e 72
 
8.2%
o 65
 
7.4%
a 61
 
7.0%
n 53
 
6.1%
i 51
 
5.8%
r 51
 
5.8%
t 47
 
5.4%
s 43
 
4.9%
l 37
 
4.2%
Other values (41) 250
28.6%
Distinct6
Distinct (%)100.0%
Missing78394
Missing (%)> 99.9%
Memory size612.6 KiB
2024-02-21T21:13:33.997463image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length50
Median length33.5
Mean length35.166667
Min length20

Characters and Unicode

Total characters211
Distinct characters43
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row*10 Equipment and Utensils Cleaning-contamination
2nd row*31 Individual, disposable towels
3rd row*42 Dirty nonfood contact surfaces
4th row*29 Cold/hot hold unit thermometer easily viewable
5th row*10 Clean Sight and Touch
ValueCountFrequency (%)
10 2
 
6.9%
and 2
 
6.9%
29 1
 
3.4%
other 1
 
3.4%
47 1
 
3.4%
touch 1
 
3.4%
sight 1
 
3.4%
clean 1
 
3.4%
viewable 1
 
3.4%
easily 1
 
3.4%
Other values (17) 17
58.6%
2024-02-21T21:13:34.372267image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
10.9%
n 16
 
7.6%
o 15
 
7.1%
i 15
 
7.1%
t 15
 
7.1%
e 14
 
6.6%
a 13
 
6.2%
l 11
 
5.2%
s 9
 
4.3%
d 8
 
3.8%
Other values (33) 72
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 156
73.9%
Space Separator 23
 
10.9%
Decimal Number 12
 
5.7%
Uppercase Letter 11
 
5.2%
Other Punctuation 8
 
3.8%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 16
10.3%
o 15
9.6%
i 15
9.6%
t 15
9.6%
e 14
9.0%
a 13
 
8.3%
l 11
 
7.1%
s 9
 
5.8%
d 8
 
5.1%
h 6
 
3.8%
Other values (12) 34
21.8%
Uppercase Letter
ValueCountFrequency (%)
C 3
27.3%
O 1
 
9.1%
T 1
 
9.1%
S 1
 
9.1%
I 1
 
9.1%
E 1
 
9.1%
D 1
 
9.1%
U 1
 
9.1%
V 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 3
25.0%
0 2
16.7%
2 2
16.7%
4 2
16.7%
9 1
 
8.3%
7 1
 
8.3%
3 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 6
75.0%
/ 1
 
12.5%
, 1
 
12.5%
Space Separator
ValueCountFrequency (%)
23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 167
79.1%
Common 44
 
20.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 16
 
9.6%
o 15
 
9.0%
i 15
 
9.0%
t 15
 
9.0%
e 14
 
8.4%
a 13
 
7.8%
l 11
 
6.6%
s 9
 
5.4%
d 8
 
4.8%
h 6
 
3.6%
Other values (21) 45
26.9%
Common
ValueCountFrequency (%)
23
52.3%
* 6
 
13.6%
1 3
 
6.8%
0 2
 
4.5%
2 2
 
4.5%
4 2
 
4.5%
9 1
 
2.3%
7 1
 
2.3%
/ 1
 
2.3%
, 1
 
2.3%
Other values (2) 2
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 211
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
 
10.9%
n 16
 
7.6%
o 15
 
7.1%
i 15
 
7.1%
t 15
 
7.1%
e 14
 
6.6%
a 13
 
6.2%
l 11
 
5.2%
s 9
 
4.3%
d 8
 
3.8%
Other values (33) 72
34.1%

Violation Points - 25
Categorical

MISSING  UNIFORM 

Distinct3
Distinct (%)50.0%
Missing78394
Missing (%)> 99.9%
Memory size612.6 KiB
3.0
2.0
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 2
 
< 0.1%
2.0 2
 
< 0.1%
1.0 2
 
< 0.1%
(Missing) 78394
> 99.9%

Length

2024-02-21T21:13:34.518520image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:34.617485image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
3.0 2
33.3%
2.0 2
33.3%
1.0 2
33.3%

Most occurring characters

ValueCountFrequency (%)
. 6
33.3%
0 6
33.3%
3 2
 
11.1%
2 2
 
11.1%
1 2
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12
66.7%
Other Punctuation 6
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
50.0%
3 2
 
16.7%
2 2
 
16.7%
1 2
 
16.7%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 6
33.3%
0 6
33.3%
3 2
 
11.1%
2 2
 
11.1%
1 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6
33.3%
0 6
33.3%
3 2
 
11.1%
2 2
 
11.1%
1 2
 
11.1%

Violation Detail - 25
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing78395
Missing (%)> 99.9%
Memory size612.6 KiB
2024-02-21T21:13:34.841410image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length482
Median length262
Mean length295.6
Min length220

Characters and Unicode

Total characters1478
Distinct characters54
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be cleaned: (E) at any time during the operation when contamination may have occurred.
2nd row228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
4th row228.106 Equipment, Utensils, and Linens. Functionality of equipment. (l) Temperature measuring devices. (2) Except as specified in paragraph (3) of this subsection, cold or hot holding equipment used for time/temperature control for safety (TCS) food shall be designed to include and shall be equipped with at least one integral or permanently affixed temperature measuring device that is located to allow easy viewing of the device's temperature display.
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
ValueCountFrequency (%)
equipment 13
 
6.9%
and 13
 
6.9%
of 10
 
5.3%
utensils 10
 
5.3%
be 6
 
3.2%
shall 6
 
3.2%
surfaces 6
 
3.2%
food-contact 4
 
2.1%
linens 4
 
2.1%
cleaning 3
 
1.6%
Other values (96) 113
60.1%
2024-02-21T21:13:35.181783image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
323
21.9%
e 113
 
7.6%
n 96
 
6.5%
a 85
 
5.8%
t 82
 
5.5%
i 81
 
5.5%
s 72
 
4.9%
o 68
 
4.6%
d 52
 
3.5%
l 48
 
3.2%
Other values (44) 458
31.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1015
68.7%
Space Separator 323
 
21.9%
Other Punctuation 43
 
2.9%
Decimal Number 36
 
2.4%
Uppercase Letter 33
 
2.2%
Open Punctuation 11
 
0.7%
Close Punctuation 11
 
0.7%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 113
11.1%
n 96
 
9.5%
a 85
 
8.4%
t 82
 
8.1%
i 81
 
8.0%
s 72
 
7.1%
o 68
 
6.7%
d 52
 
5.1%
l 48
 
4.7%
u 46
 
4.5%
Other values (15) 272
26.8%
Uppercase Letter
ValueCountFrequency (%)
E 11
33.3%
U 4
 
12.1%
L 4
 
12.1%
F 3
 
9.1%
C 3
 
9.1%
T 2
 
6.1%
H 2
 
6.1%
S 2
 
6.1%
N 1
 
3.0%
P 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
2 11
30.6%
1 11
30.6%
8 5
13.9%
3 4
 
11.1%
6 1
 
2.8%
0 1
 
2.8%
5 1
 
2.8%
7 1
 
2.8%
4 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 23
53.5%
, 15
34.9%
: 2
 
4.7%
/ 1
 
2.3%
; 1
 
2.3%
' 1
 
2.3%
Space Separator
ValueCountFrequency (%)
323
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1048
70.9%
Common 430
29.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 113
 
10.8%
n 96
 
9.2%
a 85
 
8.1%
t 82
 
7.8%
i 81
 
7.7%
s 72
 
6.9%
o 68
 
6.5%
d 52
 
5.0%
l 48
 
4.6%
u 46
 
4.4%
Other values (25) 305
29.1%
Common
ValueCountFrequency (%)
323
75.1%
. 23
 
5.3%
, 15
 
3.5%
( 11
 
2.6%
) 11
 
2.6%
2 11
 
2.6%
1 11
 
2.6%
- 6
 
1.4%
8 5
 
1.2%
3 4
 
0.9%
Other values (9) 10
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1478
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
323
21.9%
e 113
 
7.6%
n 96
 
6.5%
a 85
 
5.8%
t 82
 
5.5%
i 81
 
5.5%
s 72
 
4.9%
o 68
 
4.6%
d 52
 
3.5%
l 48
 
3.2%
Other values (44) 458
31.0%

Violation Memo - 25
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing78394
Missing (%)> 99.9%
Memory size612.6 KiB
2024-02-21T21:13:35.375585image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length171
Median length38
Mean length63
Min length9

Characters and Unicode

Total characters378
Distinct characters39
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st rowclean and sanitize all equipment
2nd rownot individual towels on hand sinks must be have individual towels on hand sinks during operational hours
3rd rowDirty dust on fans and vents above food prep areas and counters. dirty food containers, outside RIC doors, stoves, ovens, walls, vents, vent filters. Ice on freezer floor.
4th rowPROVIDE FOR ALL
5th rowCLEAN ALL
ValueCountFrequency (%)
all 4
 
6.3%
on 4
 
6.3%
hand 4
 
6.3%
sinks 3
 
4.8%
and 3
 
4.8%
clean 2
 
3.2%
dirty 2
 
3.2%
food 2
 
3.2%
individual 2
 
3.2%
towels 2
 
3.2%
Other values (33) 35
55.6%
2024-02-21T21:13:35.713336image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
15.6%
n 32
 
8.5%
s 28
 
7.4%
e 26
 
6.9%
o 25
 
6.6%
a 24
 
6.3%
i 22
 
5.8%
d 19
 
5.0%
t 19
 
5.0%
r 15
 
4.0%
Other values (29) 109
28.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 283
74.9%
Space Separator 59
 
15.6%
Uppercase Letter 27
 
7.1%
Other Punctuation 9
 
2.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 32
11.3%
s 28
9.9%
e 26
9.2%
o 25
8.8%
a 24
8.5%
i 22
 
7.8%
d 19
 
6.7%
t 19
 
6.7%
r 15
 
5.3%
l 14
 
4.9%
Other values (14) 59
20.8%
Uppercase Letter
ValueCountFrequency (%)
L 5
18.5%
I 3
11.1%
R 3
11.1%
A 3
11.1%
D 2
 
7.4%
C 2
 
7.4%
P 2
 
7.4%
O 2
 
7.4%
E 2
 
7.4%
V 1
 
3.7%
Other values (2) 2
 
7.4%
Other Punctuation
ValueCountFrequency (%)
, 6
66.7%
. 3
33.3%
Space Separator
ValueCountFrequency (%)
59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 310
82.0%
Common 68
 
18.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 32
 
10.3%
s 28
 
9.0%
e 26
 
8.4%
o 25
 
8.1%
a 24
 
7.7%
i 22
 
7.1%
d 19
 
6.1%
t 19
 
6.1%
r 15
 
4.8%
l 14
 
4.5%
Other values (26) 86
27.7%
Common
ValueCountFrequency (%)
59
86.8%
, 6
 
8.8%
. 3
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 378
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
15.6%
n 32
 
8.5%
s 28
 
7.4%
e 26
 
6.9%
o 25
 
6.6%
a 24
 
6.3%
i 22
 
5.8%
d 19
 
5.0%
t 19
 
5.0%
r 15
 
4.0%
Other values (29) 109
28.8%
Distinct89
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size612.6 KiB
Minimum2016-10-01 00:00:00
Maximum2024-02-01 00:00:00
2024-02-21T21:13:35.891943image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:13:36.051085image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Inspection Year
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size612.6 KiB
FY2018
14412 
FY2017
13443 
FY2019
11342 
FY2023
9706 
FY2021
9319 
Other values (3)
20178 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters470400
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFY2020
2nd rowFY2020
3rd rowFY2020
4th rowFY2020
5th rowFY2017

Common Values

ValueCountFrequency (%)
FY2018 14412
18.4%
FY2017 13443
17.1%
FY2019 11342
14.5%
FY2023 9706
12.4%
FY2021 9319
11.9%
FY2020 9176
11.7%
FY2022 8246
10.5%
FY2024 2756
 
3.5%

Length

2024-02-21T21:13:36.181793image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:13:36.339863image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
fy2018 14412
18.4%
fy2017 13443
17.1%
fy2019 11342
14.5%
fy2023 9706
12.4%
fy2021 9319
11.9%
fy2020 9176
11.7%
fy2022 8246
10.5%
fy2024 2756
 
3.5%

Most occurring characters

ValueCountFrequency (%)
2 125849
26.8%
0 87576
18.6%
F 78400
16.7%
Y 78400
16.7%
1 48516
 
10.3%
8 14412
 
3.1%
7 13443
 
2.9%
9 11342
 
2.4%
3 9706
 
2.1%
4 2756
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 313600
66.7%
Uppercase Letter 156800
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 125849
40.1%
0 87576
27.9%
1 48516
 
15.5%
8 14412
 
4.6%
7 13443
 
4.3%
9 11342
 
3.6%
3 9706
 
3.1%
4 2756
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 78400
50.0%
Y 78400
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 313600
66.7%
Latin 156800
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 125849
40.1%
0 87576
27.9%
1 48516
 
15.5%
8 14412
 
4.6%
7 13443
 
4.3%
9 11342
 
3.6%
3 9706
 
3.1%
4 2756
 
0.9%
Latin
ValueCountFrequency (%)
F 78400
50.0%
Y 78400
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 470400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 125849
26.8%
0 87576
18.6%
F 78400
16.7%
Y 78400
16.7%
1 48516
 
10.3%
8 14412
 
3.1%
7 13443
 
2.9%
9 11342
 
2.4%
3 9706
 
2.1%
4 2756
 
0.6%
Distinct19299
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size612.6 KiB
2024-02-21T21:13:36.599973image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length73
Median length66
Mean length40.280753
Min length10

Characters and Unicode

Total characters3158011
Distinct characters47
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9528 ?
Unique (%)12.2%

Sample

1st row3203 W CAMP WISDOM RD (32.662584, -96.873446)
2nd row2380 N FIELD ST (32.78904, -96.806882)
3rd row9271 WHITE ROCK TRL (32.872855, -96.728807)
4th row10295 FERGUSON RD (32.83427, -96.673672)
5th row1474 ANNEX AVE (32.80208, -96.7769)
ValueCountFrequency (%)
rd 19503
 
4.3%
ave 13849
 
3.1%
st 12020
 
2.7%
ln 8475
 
1.9%
w 7842
 
1.7%
n 7764
 
1.7%
blvd 7734
 
1.7%
s 6890
 
1.5%
dr 5030
 
1.1%
e 3688
 
0.8%
Other values (26822) 355601
79.3%
2024-02-21T21:13:37.073775image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
299768
 
9.5%
2 181501
 
5.7%
3 176003
 
5.6%
9 174533
 
5.5%
6 165488
 
5.2%
1 156811
 
5.0%
8 154890
 
4.9%
0 142776
 
4.5%
. 140627
 
4.5%
7 139202
 
4.4%
Other values (37) 1426412
45.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1500763
47.5%
Uppercase Letter 839801
26.6%
Space Separator 299768
 
9.5%
Other Punctuation 236064
 
7.5%
Dash Punctuation 70893
 
2.2%
Close Punctuation 70247
 
2.2%
Open Punctuation 70247
 
2.2%
Control 70228
 
2.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 82819
 
9.9%
R 81169
 
9.7%
L 68065
 
8.1%
N 66861
 
8.0%
A 65615
 
7.8%
S 56400
 
6.7%
T 51365
 
6.1%
D 49119
 
5.8%
O 42266
 
5.0%
I 34433
 
4.1%
Other values (16) 241689
28.8%
Decimal Number
ValueCountFrequency (%)
2 181501
12.1%
3 176003
11.7%
9 174533
11.6%
6 165488
11.0%
1 156811
10.4%
8 154890
10.3%
0 142776
9.5%
7 139202
9.3%
5 107100
7.1%
4 102459
6.8%
Other Punctuation
ValueCountFrequency (%)
. 140627
59.6%
, 70229
29.7%
# 25092
 
10.6%
/ 87
 
< 0.1%
' 15
 
< 0.1%
& 14
 
< 0.1%
Space Separator
ValueCountFrequency (%)
299768
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70893
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70247
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70247
100.0%
Control
ValueCountFrequency (%)
70228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2318210
73.4%
Latin 839801
 
26.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 82819
 
9.9%
R 81169
 
9.7%
L 68065
 
8.1%
N 66861
 
8.0%
A 65615
 
7.8%
S 56400
 
6.7%
T 51365
 
6.1%
D 49119
 
5.8%
O 42266
 
5.0%
I 34433
 
4.1%
Other values (16) 241689
28.8%
Common
ValueCountFrequency (%)
299768
12.9%
2 181501
 
7.8%
3 176003
 
7.6%
9 174533
 
7.5%
6 165488
 
7.1%
1 156811
 
6.8%
8 154890
 
6.7%
0 142776
 
6.2%
. 140627
 
6.1%
7 139202
 
6.0%
Other values (11) 586611
25.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3158011
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
299768
 
9.5%
2 181501
 
5.7%
3 176003
 
5.6%
9 174533
 
5.5%
6 165488
 
5.2%
1 156811
 
5.0%
8 154890
 
4.9%
0 142776
 
4.5%
. 140627
 
4.5%
7 139202
 
4.4%
Other values (37) 1426412
45.2%

Interactions

2024-02-21T21:12:29.192963image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:12:28.937406image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:12:29.341174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:12:29.051109image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Missing values

2024-02-21T21:12:29.927649image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-21T21:12:31.281983image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location
0MICKLE CHICKENRoutine10/30/20191003203CAMP WISDOMWRDNaN3203 W CAMP WISDOM RD75237NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNOct 2019FY20203203 W CAMP WISDOM RD\n(32.662584, -96.873446)
1TOM THUMB - JUICE BARRoutine04/08/20201002380FIELDNSTNaN2380 N FIELD ST75021NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2020FY20202380 N FIELD ST\n(32.78904, -96.806882)
2BROOKDALE WHITE ROCKRoutine07/29/2020979271WHITE ROCKNaNTRLNaN9271 WHITE ROCK TRL75238*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.register with the City of Dallas: 7901 Goforth Rd Dallas, TX 75238 214-670-8083*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.dust accumulation on the fan covers inside the walk in coolerNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2020FY20209271 WHITE ROCK TRL\n(32.872855, -96.728807)
3CHURCH'S CHICKEN #201Routine09/14/202010010295FERGUSONNaNRDNaN10295 FERGUSON RD75228NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNSep 2020FY202010295 FERGUSON RD\n(32.83427, -96.673672)
4PEAK PREPARATORY-PRIMARY SCHOOLRoutine04/25/2017981474ANNEXNaNAVENaN1474 ANNEX AVE75204*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2017FY20171474 ANNEX AVE\n(32.80208, -96.7769)
5SAMS CLUB #6482 - DEMO ROOMRoutine04/05/20211005555BUCKNERSBLVDNaN5555 S BUCKNER BLVD75227NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2021FY20215555 S BUCKNER BLVD\n(32.793368, -96.685021)
6AMC THEATRES NORTHPARK 15 (BAR)Routine04/09/20211008687CENTRALNEXPW#30008687 N CENTRAL EXPW #300075225NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2021FY20218687 N CENTRAL EXPW #3000\n(32.869358, -96.770707)
7SAM'S CLUB #8282 - DEMO ROOMRoutine11/14/20211002900WHEATLANDWRDNaN2900 W WHEATLAND RD75237NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2021FY20222900 W WHEATLAND RD\n(32.647455, -96.866883)
8UCHI DALLASRoutine03/11/2020982817MAPLENaNAVE#1102817 MAPLE AVE #11075201*32 Equipment & Utensils smooth easily cleanable2.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (4) finished to have a smooth, easily cleanable surface; andyou can not store utensils or food on clothNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMar 2020FY20202817 MAPLE AVE #110\n(40.501132, -78.416087)
9UNREFINED BAKERYRoutine03/23/20201002222MCKINNEYNaNAVE#1802222 MCKINNEY AVE #18075201NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMar 2020FY20202222 MCKINNEY AVE #180\n(32.793312, -96.80271)
Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location
78390KKP FOOD MARTRoutine02/09/2024733924RED BIRDWLNNaN3924 W RED BIRD LN75237*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.GREASE TRAP LAST CLEANED ON 10-27-23. MISSING 01-2024 CLEANING. CLEAN EVERY 90 DAYS.*25 Controlling pests. The presence of insects, rodents, and other pests shall be controlled to elim2.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to eliminate their presence on the premises by: (3) using methods, if pests are found, such as trapping devices or other means of pest control as specified in õ228.204(b) and õ228.208(b) and (c) of this title; andNO AVAILABLE PEST CONTROL RECORDS ONSITE.*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.REPLACE WATER DAMAGED CEILING TILES.*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.CLEAN WALLS, FLOORS, GREASE BUILD UP, SURFACES OF EQUIPMENT. CLEAN GASKETS OF WICS*31 Individual, disposable towels2.0228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;PROVIDE PAPER TOWELS AT ALL HAND SINKS.*39 Store all equipment & utensil covered or inverted1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (2) Clean equipment and utensils shall be stored as specified under paragraph (1) of this subsection and shall be stored: (B) covered or inverted.STORE UNUSED TEA CONTAINERS COVERED OR INVERTED.*28 Date marking > 24 hrs,on site,temp 41F2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; andDATE MARK ALL DELI EXPRESS SANDWICHES*46 Water, Plumbing, and Waste Plumbing Systems-good repair1.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (2) maintained in good repair.SOUL: REPAIR LEAK COMING FROM HAND SINK.*34 Outer door: solid,selfclosing,tightfitting1.0228.174 Physical Facilities. Functionality. (e) Outer openings, protected. (1) Except as specified in paragraphs (2) - (5) of this subsection, outer openings of a food establishment shall be protected against the entry of insects and rodents by: (C) solid self-closing, tight-fitting doors.EXTERIOR BACK DOOR HAS GAP, HAVE PROPERLY SEAL TO PREVENT PEST FROM ENTERING.*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.TAQUERIA: STORE FOOD OFF FLOOR.*10 After being cleaned, equipment food-contact surfaces and utensils shall be sanitized in an expos3.0228.118 Equipment, Utensils, and Linens. Sanitization methods, hot water and chemical. After being cleaned, equipment food-contact surfaces and utensils shall be sanitized in: (3) chemical manual or mechanical operations, including the application of sanitizing chemicals by immersion, manual swabbing, brushing, or pressure spraying methods, using a solution as specified in õ228.111(n) of this title by providing: (D) An exposure time used in relationship with a combination of temperature, concentration, and pH that, when evaluated for efficacy, yields sanitization as defined in õ228.2(125) of this title.TAQUERIA: EMPLOYEES NOT SANITIZING EQUIPMENT AFTER RINSE.*32 Equipment & Utensils resistant pit,chip, crazing2.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (5) resistant to pitting, chipping, crazing, scratching, scoring, distortion, and decomposition.TAQUERIA: REMOVE CHIPPED SPATULAS, DO NOT USE GROCERY BAGS TO HOLD RICE.*29 Cold/hot hold unit thermometer easily viewable2.0228.106 Equipment, Utensils, and Linens. Functionality of equipment. (l) Temperature measuring devices. (2) Except as specified in paragraph (3) of this subsection, cold or hot holding equipment used for time/temperature control for safety (TCS) food shall be designed to include and shall be equipped with at least one integral or permanently affixed temperature measuring device that is located to allow easy viewing of the device's temperature display.TAQUERIA: OBTAIN FOOD THERMOMETER*35 Eating food, chewing gum, drinking beverages, or using tobacco1.0228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.MOVE PERSONAL DRINKS FROM FOOD CONTACT TABLES.*43 Clean vent syst:Intake/exhaust air ducts1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.CLEAN VENTS*21 A establishment shall have written procedures for employees to follow when responding to vomitin2.0228.45 Contamination Events Clean-up of Vomit and Diarrheal Events. A food establishment shall have written procedures for employees to follow when responding to vomiting or diarrheal events that involve the discharge of vomitus or fecal matter onto surfaces in the food establishment the procedures shall address the specific actions employees must take to minimize the spread of contamination and the exposure of employees, consumers, food, and surfaces to vomitus or fecal matter.OBTAIN*47 RFSM Certificate - Not Display1.0Sec.17-2.2(c) Registered food service managers. (7) Display of certificate of registered food service manager. A food service establishment shall display the original certificate of each primary registered food service manager employed by the establishment. Each certificate must be displayed in a glass-covered frame at a location where it is easily visible to the public.POST CFM.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20243924 W RED BIRD LN
78391CRAFT BOBA TEARoutine01/12/202491320SINGLETONNaNBLVD#180320 SINGLETON BLVD #18075212*18 Toxic items labeling-non original container3.0228.202 Poisonous or Toxic Materials. Working containers, common name. Working containers used for storing poisonous or toxic materials such as cleaners and sanitizers taken from bulk supplies shall be clearly and individually identified with the common name of the material.Label non-original chemical spray bottles w/ contents*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.No food manager on site>must have someone with certificate on site when establishment open*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.Replace gaskets in reach-in cooler that holds jelly's/toppings for teas*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.No current liquid waste manifestNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY2024320 SINGLETON BLVD #180\n(32.77381, -96.91586)
78392T BAR M RAQUET CLUBRoutine01/29/2024906060DILBECKNaNLNNaN6060 DILBECK LN75240*22 Accredited food handler certificate - 60 days2.0õ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.Provide up-to-date Food Handler Certificates*32 Equipment & Utensils smooth easily cleanable2.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (4) finished to have a smooth, easily cleanable surface; andReplace rusted WIC shelves*37 Food protected from cross contamination by storing the food in packages, covered containers, or1.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (D) except as specified in õ228.75(e)(2)(B) of this title and paragraph (2) of this subsection, storing the food in packages, covered containers, or wrappings;Cover all food in pantry and raw beef patties in freezer*39 Store all equipment & utensil covered or inverted1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (2) Clean equipment and utensils shall be stored as specified under paragraph (1) of this subsection and shall be stored: (B) covered or inverted.Invert all plates*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.Replace water damaged ceiling tiles*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.Clean/replace rusted panel on ice machinesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20246060 DILBECK LN
78393LITTLE VEE'S BAR-BE-QUE & MORERoutine01/24/2024747620GREAT TRINITY FORESTNaNWAYNaN7620 GREAT TRINITY FOREST WAY75217*09 Food protected cross contamination separating types of raw animal food storage, preparation, hol3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (i) using separate equipment for each type; orobserved eggs on top shelves above tcs food*19 Water & Plumbing in good repair- per code3.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; andobserved leaking water from faucet*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.rfsm missing on site*28 Date marking combined ingredients for RTE/ TCS food2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (3) A refrigerated, ready-to-eat TCS food ingredient or a portion of a refrigerated, ready-to-eat, TCS food that is subsequently combined with additional ingredients or portions of food shall retain the date marking of the earliest-prepared or first-prepared ingredientproperly date mark rte and tcs food*29 Sanitizing solutions, testing devices2.0228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.missing test strips*31 No soap at handsink2.0228.175 Physical Facilities. Handwashing Sinks. (b) Handwashing cleanser, availability. Each handwashing lavatory or group of two adjacent lavatories shall be provided with a supply of hand cleaning liquid, powder, or bar soap.hand soap and paper towel missing*32 Smooth Contact Surfaces2.0228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (1) smooth;resurface the chop board or replace it*35 Jewelry Prohibition1.0228.40 Management and Personnel. Jewelry Prohibition. Except for a plain ring such as a wedding band, while preparing food, food employees may not wear jewelry including medical information jewelry on their arms and hands.observed employees wearing neck chains, need to be removed while cooking or handling food*41 Food Labeling - Bulk Food w/ Card or Sign1.0228.79 Food. Labeling. (a) Food labels. (3) Bulk food that is available for consumer self-dispensing shall be prominently labeled with the following information in plain view of the consumer: (B) a card, sign, or other method of notification that includes the information specified in paragraph (2)(A), (B), and (F) of this subsection.no labeling on bulk food container*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.clean inside the hot hold oven, clean the shelves*46 Toilet tissue, availability1.0228.176 Physical Facilities. Toilets and urinals. (b) Toilet tissue, availability. A supply of toilet tissue shall be available at each toilet.provide paper towels on restroom*22 Accredited food handler certificate - 60 days2.0õ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.food handler card missing*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.grease trap tickets needs to be on site (latest)*34 Pest control-routine inspections for1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (2) routinely inspecting the premises for evidence of pests;missing pest control receiptNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20247620 GREAT TRINITY FOREST WAY\n(32.712226986, -96.691076037)
78394LA MICHOACANA MEAT MARKET (GROCERY)Routine07/12/2017972420FITZHUGHNAVENaN2420 N FITZHUGH AVE75204*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.ceiling tile in dry storage*32 Wood & wood wicker can't used as food-contact surf2.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (g) Wood, use limitation. (1) Except as specified in paragraphs (2) - (4) of this subsection, wood and wood wicker may not be used as a food-contact surface.bulk bins for chiles, chicharon, riceNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2017FY20172420 N FITZHUGH AVE
78395TORTAS Y TACOS EL RANCHITO #1 (TO GO)Routine01/19/2024918017LAKE JUNENaNRD#F8017 LAKE JUNE RD #F75217*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.food manager certificate expired*18 Toxic items labeling-non original container3.0228.202 Poisonous or Toxic Materials. Working containers, common name. Working containers used for storing poisonous or toxic materials such as cleaners and sanitizers taken from bulk supplies shall be clearly and individually identified with the common name of the material.provide label for chemical spray bottle and sanitizer bucket*39 Utensils, single serve items 6 inches off - floor1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (1) Except as specified in paragraph (4) of this subsection, cleaned equipment and utensils, laundered linens, and single-service and single-use articles shall be stored: (C) at least 15 centimeters (6 inches) above the floor.store utensils 6 inches off floor*43 Ventilation hood-prevent grease dripping1.0228.106 Equipment, Utensils, and Linens. Functionality of equipment. (a) Ventilation hood systems, drip prevention. Exhaust ventilation hood systems in food preparation and warewashing areas including components such as hoods, fans, guards, and ducting shall be designed to prevent grease or condensation from draining or dripping onto food, equipment, utensils, linens, and single-service and single-use articles.catch grease bucket*32 Damaged Equipment2.0228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;freezer-rusty exterior, cooler on front is damaged remove or repairNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20248017 LAKE JUNE RD #F\n(28.87547064, -81.512021105)
78396ORIGINAL CHOP SHOPRoutine02/01/20249611700PRESTONNaNRD#61211700 PRESTON RD #61275230*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.store food 6 inches off the floor (carrots in the walk in cooler)*42 Nonfood-contact surfaces material1.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (i) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment that are exposed to splash, spillage, or other food soiling or that require frequent cleaning shall be constructed of a corrosion-resistant, nonabsorbent, and smooth material.clean interior of the reach in cooler/freezer*28 Date marking > 24 hrs,on site,temp 41F2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; andDiscard food in the walk in cooler by use by dateNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY202411700 PRESTON RD #612
78397FIESTA MART SEAFOODRoutine02/09/2024905334ROSSNaNAVENaN5334 ROSS AVE75204*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.RFSM not on site*32 Maintain in Good Repair2.0228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast . (h) Equipment and utensil design and construction. All equipment and utensils shall be constructed of safe materials and maintained in good repair.cutting board needs to be resurfaced from any damaged surfaces*36 Cloths in-use for wiping between uses stored1.0228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; andwiping cloths need ti be in bucket between usages*19 Water & Plumbing in good repair- per code3.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and3 comp sink is leaking from under side , needs to be repaired*39 Equipment-doors, seal hinges adjusted/intact1.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (a) Good repair and proper adjustment. (2) Equipment components such as doors, seals, hinges, fasteners, and kick plates shall be kept intact, tight, and adjusted in accordance with manufacturer's specifications.seal on the WIF needs to be repaired*47 Other Violations1.0NaNFood permit not displayedNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20245334 ROSS AVE
78398EL CHAROLAZO COMIDA MEXICANA CON SABORRoutine02/09/20248211200HARRY HINESNaNBLVD#WXZ11200 HARRY HINES BLVD #WXZ75229*09 Food protected cross contamination arrange each type food in equipment so cross is prevented3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; andobserved eggs stored above produce in ric*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.food manager was not onsite*29 Sanitizing solutions, testing devices2.0228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.missing test strips*31 Heated air hand drying device2.0228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (3) a heated-air hand drying device.missing drying towel in both hand sinks*36 Cloths in-use for wiping between uses stored1.0228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; andneed to store mop cloths in bucket*43 Light - 50 foot : Food and utensils area1.0228.177 Physical Facilities. Lighting, intensity. The light intensity shall be: (3) at least 540 lux (50 foot candles) at a surface where a food employee is working with food or working with utensils or equipment such as knives, slicers, grinders, or saws where employee safety is a factor.vent light is out*45Floor, wall, ceiling - Exposed material1.0(c) Floors, walls, and ceilings. (1) A food establishment containing a food handling area, food processing area, food preparation area, food storage area, equipment or utensil washing area, walk-in refrigerating unit, dressing room, locker room, toilet room, or vestibule shall: (C) prevent exposed construction in these areas, including but not limited to the exposure of pipes, conduits, ductwork, studs, joists, and rafters;need to repair ceiling gaps*15 Bare hands contact with ready-to-eat foods3.0228.65 Food. Preventing contamination by employees. (a) Preventing contamination from hands. (2) Except when washing fruits and vegetables as specified in õ228.66(e) of this title or as specified in paragraphs (4) and (5) of this subsection, food employees may not contact exposed, ready-to-eat food with their bare hands and shall use suitable utensils such as deli tissue, spatulas, tongs, single-use gloves, or dispensing equipment.need to wear gloves when handling cooked tortila*19 Backflow Prevention. The plumbing system shall preclude backflow of a solid, liquid, or gas cont3.0228.273 PRIVATE WATER SYSTEMS Backflow Prevention The plumbing system shall preclude backflow of a solid, liquid, or gas contaminant into the water supply system at each point of use, including on a hose bib, by: (2) installing an approved backflow prevention device that meets the American Society of Sanitary Engineering (ASSE) standards for construction, installation, maintenance, inspection, and testing for that specific application and type of device.need to repair leaking mop sinkNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY202411200 HARRY HINES BLVD #WXZ
78399PARSONS HOUSE PRESTON HOLLOWRoutine01/22/2024924205NORTHWESTWHWYNaN4205 W NORTHWEST HWY75220*09 Raw ready to eat - Food protected from cross contamination by separating, storage, preparation,3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (A) except as specified in subparagraph (A)(iii) of this paragraph,separating raw animal foods during storage, preparation, holding, and display from: (i) raw ready-to-eat food including other raw animal food such as fish for sushi or molluscan shellfish, or other raw ready-to-eat food such as vegetables; andcannot store raw food (bacon, eggs) above ready to eat food (veggies)*42 Nonfood-contact surfaces material1.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (i) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment that are exposed to splash, spillage, or other food soiling or that require frequent cleaning shall be constructed of a corrosion-resistant, nonabsorbent, and smooth material.clean the interior of the reach in cooler*16 Substitued pasteurized eggs/broken eggs....3.0228.82 Food. Additional safeguards, requirements for food establishments serving highly susceptible populations. Pasteurized foods and prohibited food. In a food establishment that serves a highly susceptible population: . (2) Pasteurized eggs, egg products. Pasteurized shell eggs or pasteurized liquid, frozen, or dry eggs or egg products shall be substituted for raw shell eggs in the preparation of: (B) except as specified in paragraph (6) of this subsection, recipes in which more than one egg is broken and the eggs are combined;provide pasteurized eggs (shelled eggs not pasteurized)*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.store food 6 inches off the ground (food on floor in the walk in freezer)NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20244205 W NORTHWEST HWY

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Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location# duplicates
25MCDONALDSRoutine03/30/2023994223ILLINOISWAVENaN4223 W ILLINOIS AVE75211*39 Soda nozzles and ice bin clean as specified1.0228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (5) Except when dry cleaning methods are used as specified in õ228.115(a) of this title, surfaces of utensils and equipment contacting food that is not time/temperature control for safety shall be cleaned: (D) in equipment such as ice bins and beverage dispensing nozzles and enclosed components of equipment such as ice makers, cooking oil storage tanks and distribution lines, beverage and syrup dispensing lines or tubes, coffee bean grinders, and water vending equipment: (i) at a frequency specified by the manufacturerOBSERVED RUST AROUND SCREW IN ICE MACHINE, COLLECTING CONDENSATION. USE MATERIAL THAT DOES NOT RUST OR IS MORE RESISTED TO RUSTING, CLEAN AROUND SCREW.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMar 2023FY20234223 W ILLINOIS AVE\n(32.72093, -96.88957)3
0AMERICAN FOOD VENDING SERVICES @ TI DMOS (CALL 214-789-1656)Routine04/26/202310013353TINaNBLVDNaN13353 TI BLVD75243NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2023FY202313353 TI BLVD2
1ANATOLE HOTEL (GOSSIP BAR)Routine12/22/20201002201STEMMONSNFRWYNaN2201 N STEMMONS FRWY75207NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2020FY20212201 N STEMMONS FRWY\n(32.801595, -96.829026)2
2BAYLOR UNIVERSITY MED CTR PHYSICIANSRoutine08/16/20231003500GASTONNaNAVENaN3500 GASTON AVE75246NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAug 2023FY20233500 GASTON AVE2
3BISHOP DUNNE HIGH STADIUMRoutine11/15/2023993900RUGGEDNaNDRNaN3900 RUGGED DR75224*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.Ceiling fan blades shall be clean to sightNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2023FY20243900 RUGGED DR2
4CANTEEN @ AMAZON IAH1-LARGE REMOTE BREAKROOMRoutine07/15/20221009155SOUTHLINKNaNDRNaN9155 SOUTHLINK DR75241NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2022FY20229155 SOUTHLINK DR\n(32.63708, -96.7475)2
5CC YOUNG (LEVEL 5 CAFE)Routine09/06/20221004849LAWTHERWDRNaN4849 W LAWTHER DR75214NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNSep 2022FY20224849 W LAWTHER DR\n(32.85442, -96.730528)2
6CENTERPLATE PERCOLATOR CART #17Routine11/15/2021100650GRIFFINSSTNaN650 S GRIFFIN ST75202NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2021FY2022650 S GRIFFIN ST\n(32.772703, -96.799217)2
7CONCOURSE SHOPSRoutine05/07/2021100208AKARDSSTNaN208 S AKARD ST75202NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMay 2021FY2021208 S AKARD ST\n(32.779797, -96.799295)2
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